{"meta":{"query_hash":"a820085f4564","filters":{"venue":"Theoretical and Natural Science"},"cohort_total":153,"direct_labels_cover":0,"predictions_cover":153,"exported":153,"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/a820085f4564","api":"https://metacan.xera.ac/api/v1/cohort?venue=Theoretical+and+Natural+Science"},"results":[{"id":"W4365519789","doi":"10.54254/2753-8818/2/20220133","title":"Similarities of Influencers across Different Social Media Platforms by Using Four Centrality Measures","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Digital Marketing and Social Media","field":"Social Sciences","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":"McMaster University","funders":"","keywords":"Influencer marketing; Centrality; Similarity (geometry); Social media; Set (abstract data type); Computer science; Social network (sociolinguistics); Social network analysis; Data science; Advertising; Information retrieval; World Wide Web; Marketing; Business; Mathematics; Artificial intelligence; Statistics","score_opus":0.03214809058763876,"score_gpt":0.3271866250566273,"score_spread":0.29503853446898853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365519789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99635375,0.00007235983,0.000004669386,0.00068114075,0.0004472637,0.000084418265,0.00004156784,0.00007788557,0.0022369581],"genre_scores_gemma":[0.9996561,0.00009096974,0.00001560726,0.000066002656,0.00012533694,0.0000017298844,0.0000022303025,0.000004368444,0.0000376622],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997746,0.00008963812,0.00019389892,0.00023779625,0.0010492684,0.0006834247],"domain_scores_gemma":[0.9987446,0.00077660824,0.00006298743,0.00006355962,0.00012903329,0.00022319709],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0023667654,0.000110584835,0.000207062,0.00004286337,0.0011645482,0.00016138476,0.00036826177,0.000093167044,0.000021063073],"category_scores_gemma":[0.003687551,0.000078882105,0.00005920897,0.00075543596,0.0124312565,0.00034151092,0.00016385724,0.00017644421,0.0000017999962],"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":[0.00008946092,0.00003254313,0.0078396825,0.000028242403,0.000010279119,0.000003366193,0.050094932,9.627573e-7,0.005511287,0.88899684,0.00016575317,0.047226623],"study_design_scores_gemma":[0.0007663444,0.000077360935,0.1907207,0.0001561515,0.000038656588,0.0000021042358,0.06532062,0.0008734756,0.006094747,0.7342511,0.0008838516,0.0008148637],"about_ca_topic_score_codex":0.00018358228,"about_ca_topic_score_gemma":0.00009273382,"teacher_disagreement_score":0.18288103,"about_ca_system_score_codex":0.000078595374,"about_ca_system_score_gemma":0.00013682009,"threshold_uncertainty_score":0.99025637},"labels":[],"label_agreement":null},{"id":"W4378807315","doi":"10.54254/2753-8818/3/20220386","title":"Diagnosis, Treatment, and Prevention of Sport-related Concussion","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Traumatic Brain Injury Research","field":"Medicine","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":"Concussion; Athletes; Medicine; Physical therapy; Headaches; Rehabilitation; Depression (economics); Aerobic exercise; Physical medicine and rehabilitation; Injury prevention; Poison control; Psychiatry; Medical emergency","score_opus":0.025893229593910716,"score_gpt":0.3605466514442237,"score_spread":0.334653421850313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378807315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967927,0.00023974612,0.0000010772702,0.001596309,0.000039564475,0.0002041175,0.0000015239364,0.000030840234,0.0010941532],"genre_scores_gemma":[0.99905133,0.00040320726,0.000103662176,0.000016450565,0.000009090822,0.000007247184,0.0000035837534,0.0000026102869,0.00040279457],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993162,0.000011341439,0.00011740214,0.00016760342,0.00021676789,0.00017066665],"domain_scores_gemma":[0.99962145,0.00010457274,0.000021220463,0.000087084976,0.00003611179,0.0001295595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046692698,0.000053514075,0.0001312363,0.00009075942,0.00007267939,0.00001016628,0.00004717485,0.000032868815,0.00011957408],"category_scores_gemma":[0.00015292577,0.00002910004,0.000020033147,0.0005362902,0.0023676923,0.000062414714,0.000055731485,0.00007502052,0.000009429293],"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":[0.00024047054,0.00007570285,0.042515077,0.00006516295,0.000015596903,0.000015663241,0.00039180872,8.198274e-8,0.025188105,0.69069695,0.00005384012,0.24074152],"study_design_scores_gemma":[0.0014548292,0.0011207425,0.8710726,0.00022823582,0.0000424071,0.00006392985,0.00013316338,0.0017772429,0.03595063,0.08791132,0.00015659042,0.000088306944],"about_ca_topic_score_codex":0.000006661648,"about_ca_topic_score_gemma":3.8043865e-7,"teacher_disagreement_score":0.8285575,"about_ca_system_score_codex":0.000016333257,"about_ca_system_score_gemma":0.00005013431,"threshold_uncertainty_score":0.8723861},"labels":[],"label_agreement":null},{"id":"W4378807345","doi":"10.54254/2753-8818/3/20220351","title":"Heart Disease Diagnosis Associated with Potential Causative Factors Based on the 2020 Data","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Congenital Heart Disease Studies","field":"Medicine","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":"Disease; Heart disease; Medicine; Index (typography); Risk factor; Internal medicine","score_opus":0.0188921944594953,"score_gpt":0.2918380746940877,"score_spread":0.2729458802345924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378807345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97675925,0.00007427805,0.0000023463604,0.022409542,0.000059186903,0.00026354086,0.00016120741,0.00006658451,0.00020405484],"genre_scores_gemma":[0.9989151,0.000008038914,0.000006684564,0.0009130913,0.000044240336,0.000011311188,0.000042881336,0.000005631538,0.000053067073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986023,0.00006147638,0.000076850636,0.0003563821,0.00060622086,0.0002967704],"domain_scores_gemma":[0.9983515,0.0009534551,0.000013490253,0.00030401678,0.000078613535,0.0002989302],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004099542,0.00011207903,0.00014208595,0.000046395875,0.0004050841,0.00003973529,0.00018569877,0.000017141074,0.00011639167],"category_scores_gemma":[0.0025471174,0.000050117673,0.000026088259,0.00086031016,0.003221921,0.0000884875,0.00025755388,0.00017550898,0.000021850568],"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":[0.0023858396,0.00047228872,0.9306184,0.00006995464,0.00015490317,0.00050188944,0.0006063613,0.000008144513,0.001051494,0.04913264,0.009272473,0.0057255966],"study_design_scores_gemma":[0.00028089376,0.0001840413,0.9784629,0.000081823135,0.00010412293,8.583557e-7,0.00012471392,0.01819538,0.00016582086,0.0022626894,0.00003991845,0.00009684312],"about_ca_topic_score_codex":0.0000063389275,"about_ca_topic_score_gemma":0.00000279641,"teacher_disagreement_score":0.047844484,"about_ca_system_score_codex":0.000026544376,"about_ca_system_score_gemma":0.00013652736,"threshold_uncertainty_score":0.99949074},"labels":[],"label_agreement":null},{"id":"W4378807352","doi":"10.54254/2753-8818/3/20220307","title":"Research on Environmental Factors and Lifestyles Related to the Prevalence of Infectious Diseases","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"COVID-19 epidemiological studies","field":"Mathematics","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","funders":"","keywords":"Environmental health; Disease; Epidemiology; Population; Infectious disease (medical specialty); Medicine; Incidence (geometry); Diabetes mellitus; Gerontology","score_opus":0.08360492357214627,"score_gpt":0.42071489300570963,"score_spread":0.33710996943356336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378807352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99676913,0.00020439827,0.000002530219,0.0025333937,0.000039493752,0.00019042772,0.000015493679,0.00004039988,0.00020472606],"genre_scores_gemma":[0.9994631,0.00030802452,0.000014853492,0.00009632886,0.000010129856,0.000007216021,2.965285e-7,0.0000027649157,0.00009730453],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986882,0.0001912748,0.0001346424,0.00027719524,0.00042608735,0.00028259263],"domain_scores_gemma":[0.99196506,0.007723721,0.00002380096,0.0001472742,0.000019206218,0.000120948585],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.0018343613,0.00008137908,0.000133813,0.00007227343,0.00040808547,0.000017991664,0.00022834107,0.000029719165,0.000035396133],"category_scores_gemma":[0.00895695,0.000035877416,0.000022553571,0.000595322,0.0049125757,0.000042469033,0.00057435205,0.00020348666,0.00001287304],"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":[0.000025109275,0.00003124167,0.11786439,0.00005090901,0.000004442566,0.000001555662,0.0005177352,0.0000027511464,0.0009203169,0.87911314,0.00011647647,0.001351923],"study_design_scores_gemma":[0.00004686194,0.00017150959,0.6266814,0.000027873783,0.0000069172766,9.619948e-7,0.00014271315,0.00024204094,0.0003194866,0.3722718,0.000039589653,0.000048851187],"about_ca_topic_score_codex":0.0000068995946,"about_ca_topic_score_gemma":0.0000010863057,"teacher_disagreement_score":0.508817,"about_ca_system_score_codex":0.000029033308,"about_ca_system_score_gemma":0.000011835371,"threshold_uncertainty_score":0.999391},"labels":[],"label_agreement":null},{"id":"W4378840618","doi":"10.54254/2753-8818/3/20220174","title":"Analysis of Autoimmune Disease: Mechanism, Genetic Susceptibility and Environmental Factors","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Celiac Disease Research and Management","field":"Medicine","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 Toronto","funders":"","keywords":"Mechanism (biology); Disease; Genetic predisposition; Autoimmune disease; Molecular mimicry; Biology; Genetics; Immunology; Computational biology; Medicine; Gene; Antibody","score_opus":0.006258086277080877,"score_gpt":0.26871829299014865,"score_spread":0.2624602067130678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378840618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988012,0.00049426133,0.000028855273,0.000362592,0.00002056203,0.00016120903,0.00002709868,0.00002314567,0.000081119615],"genre_scores_gemma":[0.99928105,0.00052467163,0.000029279592,0.0000322621,0.0000050158133,0.0000024209837,0.000031215077,0.000002439827,0.000091673195],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989,0.000023177272,0.00010578672,0.00026955866,0.00045835137,0.00024313503],"domain_scores_gemma":[0.99937046,0.00006431935,0.00001605452,0.00017531324,0.0000138244395,0.00036002335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033687596,0.00007157735,0.0001638431,0.0002142845,0.000093499155,0.000016544587,0.000080681464,0.000014162299,0.00021703352],"category_scores_gemma":[0.00014119287,0.000045758974,0.000059182716,0.000848948,0.0022387614,0.00004562656,0.00025261185,0.000064879874,0.0000026461619],"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":[0.00064067997,0.00031111194,0.30174178,0.00024030083,0.00040002674,0.00008903874,0.0003722747,0.000009357087,0.21642376,0.44319147,0.000024547904,0.036555648],"study_design_scores_gemma":[0.00016431742,0.000076156204,0.9701179,0.000008442777,0.000305532,5.1719894e-7,0.00014782099,0.021017954,0.0011261274,0.006962598,0.000017787885,0.00005480775],"about_ca_topic_score_codex":0.0000092029495,"about_ca_topic_score_gemma":8.920521e-7,"teacher_disagreement_score":0.66837615,"about_ca_system_score_codex":0.000023439958,"about_ca_system_score_gemma":0.000033135657,"threshold_uncertainty_score":0.82488096},"labels":[],"label_agreement":null},{"id":"W4378840641","doi":"10.54254/2753-8818/3/20220268","title":"Comparison of COVID-19 Live Attenuated and mRNA Vaccines in Manufacturing and Clinical Treatment","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","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","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Virology; Medicine; Human health; Attenuated vaccine; Immunology; Intensive care medicine; Environmental health; Biology; Disease; Infectious disease (medical specialty)","score_opus":0.06315790298088159,"score_gpt":0.4500256309748656,"score_spread":0.386867727993984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378840641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99705696,0.0005777582,0.000002657183,0.0019269269,0.000041464264,0.00020346834,0.0000020471525,0.000025817008,0.00016288419],"genre_scores_gemma":[0.9981888,0.00012941936,0.000041415722,0.0015966679,0.000025674188,0.0000033387284,7.1311547e-7,0.0000033430474,0.000010622077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887836,0.00005614151,0.00022565195,0.0003199729,0.00025308516,0.00026680535],"domain_scores_gemma":[0.998994,0.0006943712,0.00002953495,0.00010620097,0.00003303956,0.00014285003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008017183,0.00009440662,0.00029422078,0.00015608688,0.00009420635,0.00002309538,0.00008247046,0.000056506404,0.000007983932],"category_scores_gemma":[0.00068935286,0.000056215915,0.000024891146,0.00036637663,0.0020179683,0.000057287485,0.00015501045,0.0001773768,0.0000052896116],"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":[0.0009931397,0.00016437296,0.9038306,0.00011542588,0.000019424175,0.00008869387,0.0012053296,2.7266117e-7,0.0211113,0.012075516,0.000021273483,0.06037469],"study_design_scores_gemma":[0.0031619705,0.0013845554,0.893507,0.000087647975,0.00004291533,0.000056453177,0.0008122517,0.01364736,0.0761327,0.010299636,0.00070401095,0.00016351331],"about_ca_topic_score_codex":0.00014678667,"about_ca_topic_score_gemma":0.000032022792,"teacher_disagreement_score":0.060211178,"about_ca_system_score_codex":0.00004209169,"about_ca_system_score_gemma":0.00012364467,"threshold_uncertainty_score":0.7435288},"labels":[],"label_agreement":null},{"id":"W4378840724","doi":"10.54254/2753-8818/3/20220250","title":"Overview of Alzheimers Disease","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","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 Ottawa","funders":"","keywords":"Dementia; Disease; Depression (economics); Intervention (counseling); Medicine; Psychological intervention; Alzheimer's disease; Elderly people; Personality; Psychiatry; Psychology; Gerontology; Internal medicine","score_opus":0.024180757316068863,"score_gpt":0.36812946575167765,"score_spread":0.34394870843560876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378840724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927509,0.0011230101,0.0000038684802,0.0022702434,0.0000376173,0.00011491261,0.0000021943813,0.000021943166,0.0036753102],"genre_scores_gemma":[0.99907887,0.00049235346,0.000029165785,0.00021222682,0.000012955549,0.0000025558409,0.0000020515452,0.000001770496,0.00016805618],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991641,0.000015369566,0.000065555476,0.00013999704,0.0004094545,0.00020550675],"domain_scores_gemma":[0.9995547,0.000058572008,0.000009015978,0.00007425652,0.00007289607,0.00023056706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045698983,0.0000409807,0.000077865625,0.00007892428,0.000060856026,0.000010040371,0.00007242774,0.000008722595,0.00022259685],"category_scores_gemma":[0.00024649064,0.000024559415,0.00002671875,0.00068371714,0.0023208705,0.000056468445,0.00010808978,0.00006677749,0.000034038287],"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":[0.00024300325,0.000050228497,0.028062543,0.00008712091,0.000011458148,0.000038439357,0.00004576996,3.38275e-8,0.018721825,0.8855367,0.00008684703,0.067116074],"study_design_scores_gemma":[0.00037272516,0.00016558358,0.95186776,0.00008013267,0.000044346518,0.000003981361,0.00005000279,0.0013541498,0.010441488,0.03526004,0.00030514807,0.00005465148],"about_ca_topic_score_codex":0.0000015988576,"about_ca_topic_score_gemma":4.7412833e-8,"teacher_disagreement_score":0.9238052,"about_ca_system_score_codex":0.00000486256,"about_ca_system_score_gemma":0.0000800395,"threshold_uncertainty_score":0.85513437},"labels":[],"label_agreement":null},{"id":"W4378840779","doi":"10.54254/2753-8818/4/20220561","title":"Predicting COVID-19 Induced Mortality Utilizing Vaccination Status Data","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","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":"Poisson regression; Coronavirus disease 2019 (COVID-19); Lasso (programming language); Random forest; Statistics; Poisson distribution; Random effects model; Regression; Regression analysis; Linear regression; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Vaccination; Computer science; Medicine; Mathematics; Outbreak; Artificial intelligence; Virology; Disease; Environmental health; Internal medicine; Population","score_opus":0.12153245221773587,"score_gpt":0.363646286215157,"score_spread":0.24211383399742112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378840779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99247503,0.00022154103,0.00032719746,0.0022290992,0.00040019045,0.00016075328,0.00014350182,0.0001433089,0.0038993966],"genre_scores_gemma":[0.99866146,0.00012465549,0.000074941265,0.0010006755,0.000060990104,0.0000028635914,0.0000343898,0.000006639003,0.000033405264],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99832284,0.000023797042,0.00031543564,0.0006452292,0.00013456221,0.00055812055],"domain_scores_gemma":[0.9985932,0.0004016012,0.000117596544,0.0004724752,0.0000271203,0.00038798183],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0036317864,0.00010926596,0.00018757906,0.00023870001,0.00038619337,0.0001437815,0.0005923827,0.00006341068,0.00022260283],"category_scores_gemma":[0.010353372,0.000099062425,0.000020819627,0.0013189219,0.0005171626,0.0007085814,0.000720836,0.0002358417,0.00008084937],"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":[0.000011918908,0.000009526907,0.13242477,0.000026107133,0.0000053470144,0.0000037578354,0.00043936295,0.000007085894,0.0005102551,0.86267036,0.00010954109,0.0037819573],"study_design_scores_gemma":[0.00038014087,0.00003838028,0.50323194,0.0000090798385,0.0000057427046,0.00000511972,0.00016414339,0.16181763,0.0001529435,0.33233637,0.0016408145,0.00021771494],"about_ca_topic_score_codex":0.0005290639,"about_ca_topic_score_gemma":0.000031877487,"teacher_disagreement_score":0.530334,"about_ca_system_score_codex":0.00017831335,"about_ca_system_score_gemma":0.00018359532,"threshold_uncertainty_score":0.99798286},"labels":[],"label_agreement":null},{"id":"W4378840810","doi":"10.54254/2753-8818/4/20220510","title":"The Role of A High-Carbohydrates Diet on Alzheimer’s Disease","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Diet and metabolism studies","field":"Medicine","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":"Western University","funders":"","keywords":"Alzheimer's disease; Ketogenic diet; Disease; Carbohydrate; Medicine; Psychological intervention; Etiology; Gerontology; Internal medicine; Psychiatry","score_opus":0.0075350393462857825,"score_gpt":0.26850361556780067,"score_spread":0.26096857622151487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378840810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860495,0.004822297,1.635809e-7,0.0045369603,0.0002028731,0.00010728775,0.0000035606085,0.00003356004,0.004243853],"genre_scores_gemma":[0.99888515,0.0008145193,0.000013174273,0.00014030878,0.000055333887,0.0000054664456,9.627136e-7,0.0000027597616,0.000082299965],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99923694,0.000013915492,0.00008031892,0.00014918539,0.00029625618,0.00022338175],"domain_scores_gemma":[0.9994645,0.00019864281,0.000016549384,0.00012425614,0.000053084394,0.00014293568],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00032933944,0.00006475369,0.00011623514,0.00004056654,0.0002196988,0.000016259683,0.00010807001,0.00001187028,0.000008941128],"category_scores_gemma":[0.00032970565,0.000028841037,0.000030443483,0.0004587957,0.0031711848,0.000033703174,0.00011426485,0.000081659775,0.000017445014],"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":[0.00042606637,0.000016987982,0.00068217074,0.0000031715554,0.000009813865,0.0000030419292,0.000092038645,1.2372783e-7,0.0054548346,0.96557015,0.00005013304,0.027691493],"study_design_scores_gemma":[0.0003837222,0.00036396092,0.47602457,0.00005846371,0.00014818399,8.9550906e-7,0.0002998385,0.0015287602,0.013914375,0.5039968,0.003164845,0.000115577364],"about_ca_topic_score_codex":0.0000056996523,"about_ca_topic_score_gemma":3.9765285e-7,"teacher_disagreement_score":0.4753424,"about_ca_system_score_codex":0.000002944163,"about_ca_system_score_gemma":0.00003614294,"threshold_uncertainty_score":0.99954164},"labels":[],"label_agreement":null},{"id":"W4378840816","doi":"10.54254/2753-8818/4/20220615","title":"Effects of Air Pollutants on Respiratory Viral Infection","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Air Quality and Health Impacts","field":"Environmental 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":"Air pollution; Respiratory system; Respiratory tract; Pollutant; Particulates; Pollution; Air pollutants; Environmental science; Virology; Biology; Ecology","score_opus":0.010349826971041809,"score_gpt":0.29657081884202546,"score_spread":0.28622099187098365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378840816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955939,0.000018632252,0.000015615698,0.0010572895,0.00016406956,0.00012320858,0.0000017398897,0.0000495681,0.002975987],"genre_scores_gemma":[0.9976234,0.00002191704,0.000034833327,0.0022437386,0.000023382596,0.0000019809045,1.348851e-7,0.0000028218637,0.00004782338],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988581,0.00006832676,0.000120062934,0.00021852009,0.00040901924,0.00032598033],"domain_scores_gemma":[0.9994574,0.00021997045,0.000035249537,0.000097270735,0.000006570714,0.00018349312],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000906434,0.00007380869,0.00009731257,0.000060185484,0.00023262377,0.000010165199,0.00012963441,0.000042307285,0.0001048648],"category_scores_gemma":[0.0005602394,0.000050180322,0.000019599454,0.00073879014,0.0028791428,0.00019543314,0.0001529892,0.00014305439,0.00020201183],"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":[0.00023196993,0.000095383046,0.006876709,0.00009851926,0.0000027185704,0.000012572686,0.0007122958,0.0000540778,0.15632948,0.69547814,0.0006208574,0.13948725],"study_design_scores_gemma":[0.00021123915,0.00041261245,0.8906154,0.00003324333,0.0000034704094,0.0000017945704,0.0000075228004,0.0014827751,0.055704,0.05104709,0.00038230114,0.00009856812],"about_ca_topic_score_codex":0.00003927479,"about_ca_topic_score_gemma":0.0000033279014,"teacher_disagreement_score":0.8837387,"about_ca_system_score_codex":0.000052404193,"about_ca_system_score_gemma":0.00002158864,"threshold_uncertainty_score":0.9998345},"labels":[],"label_agreement":null},{"id":"W4380083943","doi":"10.54254/2753-8818/5/20230448","title":"Comparative Study on the Performance of Traditional Engines and Various Substitutes","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Hybrid Renewable Energy Systems","field":"Energy","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 Alberta","funders":"","keywords":"Internal combustion engine; Combustion; Automotive industry; Fossil fuel; Automotive engineering; Electric motor; Automotive engine; Environmentally friendly; Engineering; Mechanical engineering; Waste management","score_opus":0.0213686266371372,"score_gpt":0.250125624253615,"score_spread":0.2287569976164778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380083943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962749,0.00005700029,0.0000018547374,0.00026449913,0.00015765474,0.00008944839,0.0000024493634,0.000030418625,0.0031217888],"genre_scores_gemma":[0.9998109,0.000012720928,0.000010332796,0.000025972968,0.00004320516,0.000008157761,0.0000010635666,0.0000023006583,0.00008540146],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991861,0.000055191216,0.000106551815,0.00017661131,0.00031033173,0.00016519455],"domain_scores_gemma":[0.9992688,0.0005149905,0.000023236473,0.0000997106,0.000039672446,0.00005361547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005562341,0.00007830406,0.00012659718,0.000060422244,0.00022259455,0.00002829905,0.00017456892,0.000014147384,0.000022155667],"category_scores_gemma":[0.00008821608,0.000039206723,0.000012026862,0.0005192048,0.0021600693,0.00008639753,0.000055093682,0.00008879849,0.000008519475],"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":[0.000022787977,0.000031002142,0.0005796099,0.000004092072,0.0000069473726,0.0000022470654,0.00069437904,0.0008636845,0.00743892,0.9900181,0.000015011883,0.00032318616],"study_design_scores_gemma":[0.0010222485,0.0016921808,0.47406438,0.00014327103,0.000037605638,0.00007530004,0.0031212498,0.291025,0.16347498,0.064471655,0.0003389645,0.0005331382],"about_ca_topic_score_codex":0.000043328044,"about_ca_topic_score_gemma":0.000010124277,"teacher_disagreement_score":0.92554647,"about_ca_system_score_codex":0.000008754212,"about_ca_system_score_gemma":0.000025299018,"threshold_uncertainty_score":0.7958866},"labels":[],"label_agreement":null},{"id":"W4385483720","doi":"10.54254/2753-8818/6/20230216","title":"The influence of vortices on hemodynamics in blood vessels","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","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":"McMaster University","funders":"","keywords":"Vortex; Blood flow; Particle image velocimetry; Hemodynamics; Mechanics; Computational fluid dynamics; Shear stress; Flow (mathematics); Biomedical engineering; Cardiology; Physics; Materials science; Medicine; Turbulence","score_opus":0.004016097693302365,"score_gpt":0.2804070269138697,"score_spread":0.27639092922056735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385483720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981268,0.00038904688,0.00000172064,0.0008946959,0.000039803832,0.000118925615,8.3052186e-7,0.0000136078215,0.00041455013],"genre_scores_gemma":[0.99944144,0.0003967124,0.000015546633,0.00011478882,0.000011369472,0.0000032606886,6.9228986e-7,0.0000014341379,0.000014734965],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99926144,0.000025106243,0.00010644346,0.00012591828,0.00030077592,0.0001803004],"domain_scores_gemma":[0.9995526,0.00016200413,0.000017685556,0.00012310852,0.000042431097,0.000102166065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008081256,0.0000388418,0.00008535448,0.000055705026,0.00008969381,0.000010710514,0.000076868826,0.000017647477,0.0000020525076],"category_scores_gemma":[0.00064538466,0.000020934433,0.00003379555,0.000615839,0.0011387039,0.00004662583,0.00004624999,0.000096625045,0.0000042106612],"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":[0.00044979382,0.00006047605,0.0073507135,0.000108436274,0.00000924769,0.000022394881,0.00011016737,0.000079639474,0.023768755,0.9454646,0.0000025463005,0.022573227],"study_design_scores_gemma":[0.0004541623,0.00006457864,0.9488679,0.000086398184,0.000024176472,0.0000109647335,0.000039108516,0.0037390601,0.0016081237,0.045053612,0.0000145357435,0.000037367237],"about_ca_topic_score_codex":0.000010019582,"about_ca_topic_score_gemma":0.0000021118944,"teacher_disagreement_score":0.9415172,"about_ca_system_score_codex":0.000008526059,"about_ca_system_score_gemma":0.00007470747,"threshold_uncertainty_score":0.41956022},"labels":[],"label_agreement":null},{"id":"W4385496423","doi":"10.54254/2753-8818/6/20230213","title":"The effect of the Mediterranean diet on obesity","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Nutritional Studies and Diet","field":"Medicine","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":"Simon Fraser University","funders":"","keywords":"Mediterranean diet; Obesity; Environmental health; Mediterranean climate; Public health; Medicine; Weight loss; Gerontology; Geography; Endocrinology; Internal medicine; Pathology","score_opus":0.006411981357665986,"score_gpt":0.2738298131086646,"score_spread":0.26741783175099865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385496423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98512936,0.00019291202,1.8985234e-7,0.010851707,0.0002441716,0.00013289982,0.0000023967916,0.000013572358,0.0034328054],"genre_scores_gemma":[0.9995466,0.0001064227,0.0000025670918,0.00019020325,0.000064570595,0.0000028589998,4.3545685e-7,0.0000013231331,0.0000850219],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99928486,0.0000305131,0.000060420334,0.00010495413,0.0003626979,0.00015652132],"domain_scores_gemma":[0.9991699,0.0006301908,0.0000133870035,0.00010530261,0.000028348524,0.00005290152],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006671957,0.000048075337,0.00008532605,0.000012682851,0.00042941628,0.000009557273,0.000129699,0.000014390114,0.000011779964],"category_scores_gemma":[0.0006098031,0.000015739068,0.000039841918,0.00037887518,0.0033856349,0.0000144853275,0.00013250741,0.000114026276,0.000008295972],"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":[0.0014933593,0.000026627164,0.008586632,0.000047100064,0.000011306645,0.0000056781896,0.000065358385,2.6853198e-7,0.0057782624,0.9705149,0.0023243253,0.011146165],"study_design_scores_gemma":[0.0010012097,0.0027865928,0.8804522,0.00017543745,0.000040044833,0.000016648559,0.00007126319,0.00090015226,0.028266018,0.08377184,0.002423383,0.000095215306],"about_ca_topic_score_codex":0.0000029145165,"about_ca_topic_score_gemma":6.9173257e-7,"teacher_disagreement_score":0.88674307,"about_ca_system_score_codex":0.000008634958,"about_ca_system_score_gemma":0.000009574441,"threshold_uncertainty_score":0.9993266},"labels":[],"label_agreement":null},{"id":"W4386172968","doi":"10.54254/2753-8818/5/20230543","title":"Determinism in hidden variable interpretation and Turing’s halting problem","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","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":"Hidden variable theory; Interpretations of quantum mechanics; Minority interpretations of quantum mechanics; EPR paradox; Determinism; Interpretation (philosophy); Relational quantum mechanics; De Broglie–Bohm theory; Theoretical physics; Quantum nonlocality; Consistent histories; Local hidden variable theory; Mathematics; Stochastic interpretation; Locality; Bell test experiments; Epistemology; Uncertainty principle; Quantum mechanics; Physics; Philosophy; Quantum entanglement; Quantum; Open quantum system; Quantum process; Supersymmetric quantum mechanics; Quantum dynamics","score_opus":0.004422005860165287,"score_gpt":0.2489504389293398,"score_spread":0.24452843306917452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386172968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952583,0.000016054813,0.0013460325,0.00035169662,0.000037259833,0.00009584999,0.0000022896252,0.000020650124,0.0028718878],"genre_scores_gemma":[0.99898434,0.0000030279023,0.00091743615,0.00002716806,0.000022837334,0.000013244921,0.0000019733952,0.0000025734612,0.000027407687],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994548,0.000010270971,0.00008758143,0.0001840526,0.00008361261,0.00017966014],"domain_scores_gemma":[0.9997884,0.00006532277,0.000018919565,0.000056204437,0.00001627555,0.000054878637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003619956,0.00005142627,0.00006067315,0.00005048354,0.00013090871,0.000065815664,0.0000913594,0.000011963005,0.000023564791],"category_scores_gemma":[0.000013859847,0.00003857603,0.000007553764,0.00036237744,0.00028638006,0.00010978217,0.000114154165,0.000094104864,0.000007170733],"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":[0.0000024268854,0.0000048117818,0.00042060378,0.0000031116704,5.5389245e-7,2.2495733e-7,0.00017761362,6.1019387e-7,0.007945136,0.96449214,0.0000019780985,0.026950797],"study_design_scores_gemma":[0.000082174585,0.000012554682,0.0027368534,0.000023094242,0.0000019933905,9.42928e-7,0.000105859246,0.10640363,0.0016586828,0.8888894,0.000025569308,0.000059304377],"about_ca_topic_score_codex":0.000021238913,"about_ca_topic_score_gemma":5.129836e-7,"teacher_disagreement_score":0.106403016,"about_ca_system_score_codex":0.0000051682914,"about_ca_system_score_gemma":0.000021275717,"threshold_uncertainty_score":0.15730847},"labels":[],"label_agreement":null},{"id":"W4386172985","doi":"10.54254/2753-8818/5/20230495","title":"Analog integrated circuit design with machine learning","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","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":"Western University","funders":"","keywords":"Computer science; Analogue electronics; Integrated circuit; Mixed-signal integrated circuit; Integrated circuit design; Electronic circuit; Analog computer; Electronic engineering; Computer architecture; Artificial intelligence; Computer engineering; Engineering; Electrical engineering; Embedded system","score_opus":0.011766613195325055,"score_gpt":0.2232219899898302,"score_spread":0.21145537679450516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386172985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92953986,0.0012848808,0.058689944,0.000073819945,0.00039756656,0.0002782415,0.0000057509765,0.0013216891,0.008408231],"genre_scores_gemma":[0.99926555,0.0001724339,0.00037725724,0.000038629172,0.00001847204,0.0000042712863,0.000003894879,0.000010565299,0.00010895072],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913377,0.000021836555,0.00008846431,0.0002027091,0.00021968507,0.00033352384],"domain_scores_gemma":[0.9996614,0.00010268661,0.000011349124,0.00008733355,0.000034019213,0.000103209066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039500717,0.00011231665,0.000105611616,0.0000869094,0.00016483682,0.000055387838,0.0001885452,0.000026492822,0.000094852134],"category_scores_gemma":[0.000055530167,0.00007032445,0.000010965428,0.0010436415,0.0009187789,0.0002225957,0.000028348592,0.00025201624,0.000028728433],"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":[0.000039529903,0.0000087309445,0.0010179672,0.000037196558,0.000026576263,0.00004912874,0.00049020373,0.011408792,0.21518482,0.6911152,0.000061896004,0.08055998],"study_design_scores_gemma":[0.00046028217,0.00026762238,0.0020709308,0.00008680884,0.00002519431,0.00006548969,0.00028267867,0.90914375,0.026980931,0.05816737,0.001888385,0.00056056236],"about_ca_topic_score_codex":0.0000030327535,"about_ca_topic_score_gemma":5.9567924e-7,"teacher_disagreement_score":0.89773494,"about_ca_system_score_codex":0.000036276953,"about_ca_system_score_gemma":0.0000222541,"threshold_uncertainty_score":0.33852792},"labels":[],"label_agreement":null},{"id":"W4386173000","doi":"10.54254/2753-8818/5/20230479","title":"Comparison of anti-interference ability between PID controller and ADRC controller in UAV operation at ocean","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","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":"Western University","funders":"","keywords":"PID controller; Control theory (sociology); Controller (irrigation); Control engineering; Interference (communication); Computer science; Engineering; Control (management); Artificial intelligence; Temperature control","score_opus":0.015798872373338248,"score_gpt":0.2820769345721083,"score_spread":0.26627806219877004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386173000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986833,0.00029949154,0.0002953996,0.00026309773,0.000025216916,0.00013797518,0.0000039759852,0.00004468248,0.00024691076],"genre_scores_gemma":[0.9998744,0.000042688385,0.00004063596,0.000012309034,0.000011888506,0.0000023517441,0.000001756314,0.0000032791995,0.000010695474],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992266,0.000054178752,0.00024408073,0.00015299639,0.00014692312,0.00017516961],"domain_scores_gemma":[0.9995784,0.00019744162,0.00002135812,0.00010110162,0.00003710761,0.000064573745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065062934,0.000076953045,0.00024368128,0.00006284114,0.00008550776,0.0000391704,0.00017759741,0.000037455913,0.00001050307],"category_scores_gemma":[0.000023505903,0.00005326748,0.00001574964,0.000253623,0.00083833036,0.00011229204,0.00013195569,0.000118326876,0.000005283034],"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":[0.00009478929,0.00003089903,0.35892907,0.00007950972,0.00001599947,6.327083e-7,0.0025541694,0.00038302448,0.5671609,0.05487137,0.00002247462,0.015857147],"study_design_scores_gemma":[0.0010276613,0.00008126975,0.5096775,0.00005842773,0.000008065204,0.00000216229,0.00022257102,0.43259797,0.049073342,0.0069813407,0.00009518245,0.00017449335],"about_ca_topic_score_codex":0.000012600741,"about_ca_topic_score_gemma":0.0000054238553,"teacher_disagreement_score":0.51808757,"about_ca_system_score_codex":0.00002456219,"about_ca_system_score_gemma":0.0000064091582,"threshold_uncertainty_score":0.30888632},"labels":[],"label_agreement":null},{"id":"W4386173001","doi":"10.54254/2753-8818/5/20230516","title":"Game theory--optimum strategy for drawing cards in 21 points","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Artificial Intelligence in Games","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":"Randomness; Computer science; Game theory; Feeling; Mathematical economics; Artificial intelligence; Mathematics; Psychology; Social psychology; Statistics","score_opus":0.020450205719332704,"score_gpt":0.3143019269728967,"score_spread":0.293851721253564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386173001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86289036,0.00022107823,0.12800604,0.0038025521,0.00084535783,0.00045306285,0.000004362759,0.00031737157,0.0034598368],"genre_scores_gemma":[0.99553895,0.000016806991,0.004053336,0.00022514246,0.000046178575,0.000013818602,5.5624554e-7,0.00000500375,0.00010021527],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99817634,0.00007102338,0.00021316469,0.00052823644,0.00037874805,0.00063252077],"domain_scores_gemma":[0.9987496,0.00070685305,0.000031811014,0.00027156126,0.000093485934,0.0001466496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002519567,0.00012680217,0.0001554334,0.00019946738,0.00019977945,0.00027376707,0.00107255,0.00005280911,0.000012378624],"category_scores_gemma":[0.0006886508,0.00009187211,0.00004419119,0.0015072834,0.0021979727,0.00059965864,0.0004246975,0.00018780715,0.00004945701],"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":[0.000014945901,0.0000074977215,0.00007982419,0.0000046978553,9.629147e-7,0.000006575227,0.000439544,0.0000639433,0.0019525362,0.9124045,0.000011863246,0.08501312],"study_design_scores_gemma":[0.00005724384,0.00006758954,0.0017941928,0.000021929118,0.0000014184119,0.0000057666675,0.00011389777,0.20788012,0.01154174,0.77832717,0.000060767226,0.0001281433],"about_ca_topic_score_codex":0.000010713999,"about_ca_topic_score_gemma":0.000003904072,"teacher_disagreement_score":0.20781618,"about_ca_system_score_codex":0.000038342736,"about_ca_system_score_gemma":0.00011317765,"threshold_uncertainty_score":0.80985224},"labels":[],"label_agreement":null},{"id":"W4386173038","doi":"10.54254/2753-8818/5/20230405","title":"Study of MLP-based classification of multi-cluster TPC signals","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","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":"Milton District Hospital","funders":"","keywords":"Perceptron; Pattern recognition (psychology); Projection (relational algebra); Artificial intelligence; Computer science; Cluster (spacecraft); Time projection chamber; Artificial neural network; Machine learning; Data mining; Algorithm; Detector","score_opus":0.039395208593005715,"score_gpt":0.28681547888253295,"score_spread":0.24742027028952723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386173038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984468,0.000039143728,0.00007660939,0.00019880229,0.00006166192,0.0001660094,0.00000953893,0.00001846424,0.0009829232],"genre_scores_gemma":[0.99971455,0.000002772549,0.00019331845,0.00005369348,0.000008298941,6.216283e-7,0.000005595218,6.7799357e-7,0.00002048122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990541,0.00008474691,0.00018743714,0.00018983276,0.00031504198,0.00016886828],"domain_scores_gemma":[0.9991743,0.00051263935,0.0000530151,0.00010880979,0.00006634196,0.00008487953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085355266,0.00005871006,0.0001243741,0.00010125529,0.00012326651,0.000014209884,0.00020048035,0.00002502488,0.00036436075],"category_scores_gemma":[0.00027556377,0.000034109915,0.000019715397,0.0007998151,0.0013336081,0.000087886525,0.000020555524,0.00006960261,0.000017740558],"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":[0.00055668,0.0006363856,0.6699709,0.000069272886,0.000023048296,0.000007863456,0.002477954,0.026062585,0.058648717,0.17150176,0.0000339694,0.070010856],"study_design_scores_gemma":[0.00025705324,0.0002670635,0.6946704,0.000003512215,0.000005538704,2.1345092e-7,0.0001887441,0.29627943,0.00040713206,0.00787334,0.0000033278614,0.000044238262],"about_ca_topic_score_codex":0.000038033733,"about_ca_topic_score_gemma":0.000021147947,"teacher_disagreement_score":0.27021685,"about_ca_system_score_codex":0.0000012255034,"about_ca_system_score_gemma":0.000024654462,"threshold_uncertainty_score":0.49137345},"labels":[],"label_agreement":null},{"id":"W4386849477","doi":"10.54254/2753-8818/5/20230386","title":"Function tissue unit segmentation based on UNext model","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"AI in cancer detection","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":"Dalhousie University","funders":"","keywords":"Computer science; Pyramid (geometry); Segmentation; Pooling; Artificial intelligence; Inference; Pattern recognition (psychology); Image segmentation; Data mining; Computer vision; Mathematics","score_opus":0.011726257782678261,"score_gpt":0.27401868090463694,"score_spread":0.26229242312195866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386849477","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22442877,0.00002725407,0.7645318,0.0044379043,0.0009668817,0.00021766705,0.0000018212488,0.0005187674,0.0048691556],"genre_scores_gemma":[0.9951078,0.0000067968376,0.0040763547,0.00062318676,0.00003201724,0.000008087419,0.000001270313,0.0000031683064,0.00014128828],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988023,0.000032260516,0.00008737411,0.00036216268,0.00047007945,0.00024581514],"domain_scores_gemma":[0.9995086,0.00010696064,0.000025305475,0.00020642077,0.000057910387,0.000094792296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057214516,0.000081665916,0.000059933755,0.00016098729,0.00030403753,0.00013050635,0.00035181278,0.00003240504,0.000016966658],"category_scores_gemma":[0.00006381388,0.000060803177,0.00001370449,0.0015395357,0.00065142434,0.0004500154,0.00012221433,0.00013070076,0.00007798008],"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":[0.000027057984,0.000007426708,0.000015849067,0.000003917803,5.9748646e-7,0.000001237632,0.00006534395,0.004309389,0.034719784,0.8542242,0.00005373483,0.10657148],"study_design_scores_gemma":[0.00011320902,0.00014052866,0.0012544142,0.000008205614,0.0000019571287,0.0000015944934,0.000008513857,0.82971567,0.02717886,0.14144817,0.00005005988,0.00007880765],"about_ca_topic_score_codex":0.000004180455,"about_ca_topic_score_gemma":8.308746e-7,"teacher_disagreement_score":0.8254063,"about_ca_system_score_codex":0.000048551512,"about_ca_system_score_gemma":0.00006992546,"threshold_uncertainty_score":0.24794815},"labels":[],"label_agreement":null},{"id":"W4387455470","doi":"10.54254/2753-8818/7/20230119","title":"Using remote sensing approach to analyze vegetation response to drought and landscape changes in arid regions","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Remote Sensing in Agriculture","field":"Environmental 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":"Shrubland; Normalized Difference Vegetation Index; Arid; Vegetation (pathology); Physical geography; Land cover; Environmental science; Precipitation; Land use; Hydrology (agriculture); Ecosystem; Geography; Remote sensing; Climate change; Ecology; Geology","score_opus":0.011719756695170405,"score_gpt":0.253346533470454,"score_spread":0.2416267767752836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387455470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925885,0.00002011682,0.0010718611,0.0043254523,0.00008187665,0.00018201969,4.936413e-7,0.00003990331,0.001689776],"genre_scores_gemma":[0.97870296,0.000010163936,0.020746289,0.00042025067,0.000031599135,1.1057568e-7,8.231667e-7,0.000004659621,0.00008316936],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986351,0.0000985443,0.00010026435,0.00045850757,0.00034546474,0.00036212534],"domain_scores_gemma":[0.99947774,0.00013966806,0.000020664183,0.00013655107,0.000013356585,0.00021203834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011256629,0.00010847611,0.00011764204,0.0001481719,0.00023113408,0.000084472405,0.0001332478,0.000046916764,0.0000037505463],"category_scores_gemma":[0.00048733692,0.00007333707,0.000011792955,0.0024869433,0.0008120412,0.000119000906,0.00030425476,0.00014221086,0.000023459832],"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":[0.0003037281,0.000015121964,0.0007352091,0.000012778507,0.0000025479203,0.000027642565,0.004698192,0.0033224793,0.9267872,0.009747045,0.00018368113,0.05416438],"study_design_scores_gemma":[0.00022580731,0.00009758404,0.2767696,0.00009932431,0.000011317905,0.00016197705,0.00051355414,0.69805187,0.0059704967,0.01740828,0.00031154542,0.0003786333],"about_ca_topic_score_codex":0.00007307323,"about_ca_topic_score_gemma":0.00008260647,"teacher_disagreement_score":0.9208167,"about_ca_system_score_codex":0.00007283607,"about_ca_system_score_gemma":0.000009724673,"threshold_uncertainty_score":0.29919997},"labels":[],"label_agreement":null},{"id":"W4388553171","doi":"10.54254/2753-8818/8/20240363","title":"Comprehensive research progress in stem cell therapy","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","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":"Induced pluripotent stem cell; Stem cell; Stem-cell therapy; Regenerative medicine; Context (archaeology); Regeneration (biology); Medicine; Mesenchymal stem cell; Cell therapy; Neuroscience; Embryonic stem cell; Biology; Pathology; Cell biology","score_opus":0.027524680901705158,"score_gpt":0.3510049346152515,"score_spread":0.32348025371354633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388553171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951826,0.0026184397,0.0000011570394,0.0006438351,0.000056596065,0.00020662899,0.0000023731143,0.000012495345,0.0012758726],"genre_scores_gemma":[0.9984719,0.0010293953,0.000034217857,0.00005269611,0.000036470643,0.0000141119845,0.0000056551767,0.000005802269,0.00034973308],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99828434,0.00014845692,0.00009298751,0.00040434214,0.0005056775,0.0005642157],"domain_scores_gemma":[0.9994632,0.00007395362,0.000010160637,0.00019031826,0.00013538642,0.00012700724],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001220903,0.00007734101,0.00008061872,0.00015220388,0.00017575204,0.00005604041,0.00039553066,0.000059712747,0.000011509174],"category_scores_gemma":[0.00002354586,0.000053187257,0.000017185897,0.0010161776,0.0038200333,0.0000063393936,0.00046512508,0.0002364771,0.000043512267],"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":[0.00018809074,0.000042265747,0.0024412498,0.00002006751,0.0000021073492,0.000023839899,0.000100841105,0.0000011106796,0.93892324,0.017080646,0.00021622743,0.04096029],"study_design_scores_gemma":[0.0011463838,0.00076673226,0.09650122,0.00003186381,0.0000010261127,0.00001958969,0.0005278003,0.003007634,0.88073975,0.008197687,0.008731656,0.00032865902],"about_ca_topic_score_codex":0.000004072687,"about_ca_topic_score_gemma":9.74469e-7,"teacher_disagreement_score":0.09405997,"about_ca_system_score_codex":0.00001305379,"about_ca_system_score_gemma":0.000088583976,"threshold_uncertainty_score":0.998891},"labels":[],"label_agreement":null},{"id":"W4388553180","doi":"10.54254/2753-8818/8/20240388","title":"Role of oral microbiota in Alzheimer’s disease: A systematic review of clinical studies","year":2023,"lang":"en","type":"review","venue":"Theoretical and Natural Science","topic":"Oral microbiology and periodontitis research","field":"Dentistry","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":"Oral Microbiome; Microbiome; Etiology; Cochrane Library; Dementia; Medicine; Disease; Alzheimer's disease; Scopus; MEDLINE; Bioinformatics; Meta-analysis; Internal medicine; Biology","score_opus":0.10321644036969718,"score_gpt":0.4875265486905197,"score_spread":0.3843101083208225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388553180","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006146023,0.99780905,5.6586646e-8,0.000037114503,0.00026533837,0.0010584221,0.00014442472,0.000011939593,0.000059077272],"genre_scores_gemma":[0.005383434,0.9944042,0.000027436965,0.00002915021,0.00001976199,0.000029577417,0.000016109962,0.0000107888845,0.00007955458],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.996273,0.00095010933,0.0016038087,0.00050362165,0.00030782234,0.00036167464],"domain_scores_gemma":[0.9976096,0.0012326505,0.00041585148,0.00039923197,0.00020020157,0.00014246641],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0050496273,0.00024183786,0.0033669237,0.0001846183,0.00006267707,0.000017051854,0.0008378387,0.00017427136,0.00008980252],"category_scores_gemma":[0.004917692,0.00013543222,0.00039513464,0.0011706289,0.007220122,0.0000708629,0.0007080106,0.0005930193,0.00008481113],"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":[0.00002275247,0.000048110825,0.000045360786,0.9381172,0.00016832107,0.000033564727,0.000013196125,2.694448e-9,0.000026803498,0.033328887,0.000073126335,0.028122673],"study_design_scores_gemma":[0.00013786388,0.00007175457,0.00027769763,0.9924214,0.0013755539,0.00006270346,0.000026854237,0.0000055788296,0.00001163554,0.0020344285,0.0033216125,0.00025293545],"about_ca_topic_score_codex":0.000010167851,"about_ca_topic_score_gemma":0.000009997837,"teacher_disagreement_score":0.05430418,"about_ca_system_score_codex":0.000021476122,"about_ca_system_score_gemma":0.00036597016,"threshold_uncertainty_score":0.99548167},"labels":[],"label_agreement":null},{"id":"W4388553273","doi":"10.54254/2753-8818/9/20240730","title":"Calculating non-scalar diffraction efficiently via merging Braunbek method and Bluestein method","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Optical Coatings and Gratings","field":"Materials 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 Toronto","funders":"","keywords":"Diffraction; Fourier transform; Scalar (mathematics); Computation; Chirp; Algorithm; Computer science; Optics; Fast Fourier transform; Discrete Fourier transform (general); Harmonic wavelet transform; Flexibility (engineering); Short-time Fourier transform; Physics; Fourier analysis; Mathematics; Wavelet transform; Artificial intelligence; Mathematical analysis; Discrete wavelet transform; Statistics","score_opus":0.005391036287656089,"score_gpt":0.2992935878393823,"score_spread":0.29390255155172623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388553273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9490795,0.000057934416,0.048483804,0.0009787058,0.00026156742,0.00014769124,0.0000026347022,0.00013227487,0.0008558681],"genre_scores_gemma":[0.9381637,0.0000069274843,0.061436236,0.00023792162,0.000063639265,0.000005718139,0.0000012588486,0.000009826988,0.000074783224],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977677,0.00014346818,0.00027036315,0.00064652297,0.0005565322,0.00061539887],"domain_scores_gemma":[0.9984676,0.0009238414,0.00008297391,0.00015804733,0.00009920535,0.00026828013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003913048,0.0001791913,0.00024404292,0.00012145421,0.0007755057,0.0003065446,0.00023771239,0.00006928129,0.0000656764],"category_scores_gemma":[0.0009889319,0.000121472796,0.000038637863,0.0010213807,0.0014796096,0.00038925107,0.00040608182,0.00026015224,0.000048899885],"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":[0.00001550473,0.000008639874,0.00007654381,0.00001743749,0.0000010064164,0.0000045409734,0.00033418371,0.00004073374,0.8245463,0.14764692,0.0000040924083,0.0273041],"study_design_scores_gemma":[0.00031168852,0.00014681435,0.011681249,0.00007472881,0.000026782747,0.00006044796,0.00024116253,0.59080917,0.3383515,0.057879128,0.00006264765,0.0003547179],"about_ca_topic_score_codex":0.000050783066,"about_ca_topic_score_gemma":0.0000017195149,"teacher_disagreement_score":0.5907684,"about_ca_system_score_codex":0.000025440386,"about_ca_system_score_gemma":0.000029292505,"threshold_uncertainty_score":0.5964641},"labels":[],"label_agreement":null},{"id":"W4388743595","doi":"10.54254/2753-8818/12/20230434","title":"Seeing cells without a lens: Compact 3D digital lensless holographic microscopy for wide-field imaging","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","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 Toronto","funders":"","keywords":"Holography; Microscope; Lens (geology); Digital holographic microscopy; Optics; Microscopy; Computer science; Digital holography; Resolution (logic); Depth of field; Optical microscope; Computer vision; Artificial intelligence; Physics","score_opus":0.005360968244220193,"score_gpt":0.26644723138688386,"score_spread":0.2610862631426637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388743595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895012,0.00010444012,0.0017354314,0.00046616685,0.0003019666,0.00022498908,0.00007234214,0.000098064214,0.0074954266],"genre_scores_gemma":[0.9992707,0.0000061649625,0.00026593506,0.00030051448,0.000054914057,0.0000061621845,0.0000140591155,0.000010332449,0.00007125737],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986627,0.000011513978,0.0001555165,0.00041654494,0.00015215058,0.00060153526],"domain_scores_gemma":[0.9993055,0.00031326606,0.00004499025,0.00015108223,0.00006146417,0.00012372951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002875078,0.00017358812,0.0001911142,0.0001482341,0.00036177633,0.0003902379,0.00028971667,0.000026600654,0.000015215118],"category_scores_gemma":[0.00003204567,0.00012757826,0.00010699826,0.0007314019,0.0024035207,0.00062631036,0.00012198508,0.0001740952,0.00001657009],"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":[0.00017687395,0.000100624624,0.114582926,0.000032080254,0.000027007274,0.0000062747913,0.00025721392,0.0000027372714,0.28386024,0.5439062,0.00066020904,0.05638761],"study_design_scores_gemma":[0.0021849808,0.00055521907,0.02511614,0.0002904921,0.000082977596,0.000020492533,0.0010875706,0.0059284805,0.5293373,0.42829645,0.005615575,0.001484342],"about_ca_topic_score_codex":0.0000092870005,"about_ca_topic_score_gemma":1.6978396e-7,"teacher_disagreement_score":0.24547704,"about_ca_system_score_codex":0.0000058771534,"about_ca_system_score_gemma":0.000033535318,"threshold_uncertainty_score":0.8855872},"labels":[],"label_agreement":null},{"id":"W4388743642","doi":"10.54254/2753-8818/11/20230398","title":"The study the angle of attack and lift magnitude of a wing using COMSOL software","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Aerospace and Aviation Technology","field":"Engineering","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":"Angle of attack; Lift coefficient; Wing; Vortex lift; Wing twist; Lift (data mining); Chord (peer-to-peer); Wingtip vortices; Wing loading; Lift-to-drag ratio; Drag; Mechanics; Aerodynamic center; Drag coefficient; Aerospace engineering; Physics; Pitching moment; Engineering; Aerodynamics; Computer science; Turbulence; Horseshoe vortex; Vortex; Reynolds number","score_opus":0.010621938361670824,"score_gpt":0.26426481460040574,"score_spread":0.25364287623873494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388743642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991184,0.000298842,0.00010191139,0.00024913478,0.000048499358,0.0000912822,0.0000011865561,0.00004942075,0.000041353906],"genre_scores_gemma":[0.99980307,0.00004861519,0.000120175864,0.00000964388,0.0000063860934,0.0000012348236,8.6003006e-8,0.000002527697,0.000008275652],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99957895,0.00001278036,0.00008132312,0.00007193004,0.00012675725,0.00012825809],"domain_scores_gemma":[0.9996506,0.00019298123,0.000015696129,0.000092290924,0.00002919342,0.00001922078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035959162,0.00004318334,0.00006900639,0.00002583793,0.00017059522,0.00001610087,0.00015943592,0.000018188754,0.000002478446],"category_scores_gemma":[0.00016123074,0.000021080677,0.000009512226,0.00042998482,0.0017189968,0.000048544513,0.00012412634,0.000090914014,6.9395617e-7],"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":[0.000067958936,0.000081055114,0.058911946,0.00012364323,0.00007285461,0.000008959247,0.008131719,0.0012093171,0.20472288,0.6303939,0.00017491188,0.09610085],"study_design_scores_gemma":[0.001259606,0.00070442597,0.434147,0.00015245138,0.000110543035,0.000034935438,0.015192243,0.38817054,0.07188332,0.08752315,0.00027208932,0.0005496911],"about_ca_topic_score_codex":0.0000033255283,"about_ca_topic_score_gemma":0.0000028476172,"teacher_disagreement_score":0.54287076,"about_ca_system_score_codex":0.0000040600075,"about_ca_system_score_gemma":0.000007112729,"threshold_uncertainty_score":0.63337153},"labels":[],"label_agreement":null},{"id":"W4388743848","doi":"10.54254/2753-8818/11/20230409","title":"The colonel blotto game based on probability and statistics","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","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":"Computer science; Competitor analysis; Competition (biology); Strategy; Mathematical economics; Game theory; Mathematics; Economics; Management","score_opus":0.012518951336491203,"score_gpt":0.22551526839335773,"score_spread":0.21299631705686653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388743848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918451,0.00029007794,0.00047601946,0.0036440643,0.00025113215,0.00014063162,0.00006374998,0.000029705689,0.003259559],"genre_scores_gemma":[0.9990435,0.00022067588,0.00019032773,0.00030256814,0.000021978958,0.000003988942,0.000001871997,0.000003185576,0.0002119056],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992445,0.0000053437384,0.00016536535,0.0002591739,0.00007013248,0.00025546318],"domain_scores_gemma":[0.9994566,0.00022309378,0.0000473432,0.00015414898,0.000027490394,0.0000913664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013214614,0.00006915011,0.000108672226,0.000056810448,0.00034379362,0.00013071255,0.00015596951,0.000023952485,0.00005343738],"category_scores_gemma":[0.00031562606,0.00004354682,0.000014345963,0.00038878695,0.002173641,0.00005927502,0.00006764721,0.000116538016,0.00004927162],"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":[0.000017311042,0.0000071317636,0.0054413546,0.0000049468163,9.933023e-7,0.0000010196386,0.00003266727,0.000040042327,0.000007318902,0.9922546,0.00008621245,0.00210636],"study_design_scores_gemma":[0.00009319024,0.00006202858,0.11954254,0.0000041396256,0.0000011931402,7.97648e-7,0.0000067457563,0.44447345,0.000020124082,0.43293637,0.0027877768,0.0000716253],"about_ca_topic_score_codex":0.000013437729,"about_ca_topic_score_gemma":0.0000041421176,"teacher_disagreement_score":0.55931824,"about_ca_system_score_codex":0.000017541533,"about_ca_system_score_gemma":0.000021385913,"threshold_uncertainty_score":0.8008871},"labels":[],"label_agreement":null},{"id":"W4389147215","doi":"10.54254/2753-8818/13/20240810","title":"Vertical takeoff and landing aircraft: Categories, applications, and technology","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Aerospace and Aviation Technology","field":"Engineering","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":"Conestoga College","funders":"","keywords":"Takeoff and landing; Runway; Aeronautics; Takeoff; Aerospace engineering; Engineering; Computer science","score_opus":0.0027493103764155242,"score_gpt":0.20952060156969263,"score_spread":0.2067712911932771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389147215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933277,0.0009529867,0.0010694126,0.0035759897,0.00005233437,0.00009324842,0.0000017340608,0.0005583182,0.00036830912],"genre_scores_gemma":[0.99929315,0.0004209192,0.00019926924,0.000030409652,0.000014546477,0.000012771598,0.0000012338535,0.0000041293392,0.000023558625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99947053,0.0000032153528,0.00006555265,0.0001643146,0.00007905906,0.0002173091],"domain_scores_gemma":[0.9997867,0.000049037975,0.0000040385785,0.000077127115,0.000017517552,0.00006559057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013839312,0.000064474654,0.00007925998,0.00012239377,0.00015770436,0.00003127108,0.000089691624,0.00007226092,0.0000059060326],"category_scores_gemma":[0.00006531513,0.00004892829,0.0000040605073,0.0008225931,0.0021074007,0.000080516154,0.00011160122,0.00014761412,0.000012191024],"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":[0.0000014185827,0.000001396265,0.0021560316,0.000009462791,0.0000014513829,0.0000014064617,0.000030541243,7.744839e-7,0.019899143,0.9622697,0.00003445953,0.015594216],"study_design_scores_gemma":[0.00047159992,0.00010445954,0.02044121,0.000027339816,0.000021846148,0.00012102077,0.0005369577,0.09456364,0.046676118,0.8310836,0.005489766,0.0004624761],"about_ca_topic_score_codex":0.0000010225854,"about_ca_topic_score_gemma":9.0386624e-7,"teacher_disagreement_score":0.13118613,"about_ca_system_score_codex":0.000009844834,"about_ca_system_score_gemma":0.000008119078,"threshold_uncertainty_score":0.77648056},"labels":[],"label_agreement":null},{"id":"W4389147223","doi":"10.54254/2753-8818/13/20240801","title":"Discrete logarithms and primitive roots: Algorithms, properties, and typical solution methods","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Coding theory and cryptography","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":"Discrete logarithm; Logarithm; Mathematics; Iterated logarithm; Integer (computer science); Binary logarithm; Discrete mathematics; Root (linguistics); Analytic number theory; Value (mathematics); Prime (order theory); Combinatorics; Field (mathematics); Pure mathematics; Computer science; Mathematical analysis","score_opus":0.019475613507888602,"score_gpt":0.29277019236077895,"score_spread":0.2732945788528903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389147223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6606847,0.0024336989,0.32672027,0.0074484763,0.00055865064,0.00036204665,0.0000046908526,0.0005022783,0.0012851969],"genre_scores_gemma":[0.9642788,0.0001420223,0.03533873,0.0001738723,0.000029676796,0.000005778739,5.017648e-7,0.000003223357,0.00002739256],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985655,0.00016043762,0.00012009854,0.0005231384,0.0002445576,0.00038627014],"domain_scores_gemma":[0.9992951,0.00024837683,0.000025273603,0.0001741435,0.000054158812,0.00020294318],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0017402091,0.00012659056,0.00014050807,0.00013208395,0.0005028882,0.00025534385,0.00036959062,0.000052014264,0.000003979968],"category_scores_gemma":[0.00027549593,0.00008058858,0.000023437864,0.00095551345,0.0041869353,0.00050076155,0.0008490946,0.0002074177,0.0000035232265],"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":[0.000025125239,0.000005442182,0.00006224343,0.000006295803,0.000002657265,0.000003058685,0.00026457844,1.2967593e-7,0.00828057,0.7996204,0.00000593947,0.19172356],"study_design_scores_gemma":[0.00028486716,0.00024456598,0.040134054,0.00005426975,0.000012857021,0.000090218695,0.00009508911,0.21404769,0.006493456,0.73785424,0.000384642,0.0003040191],"about_ca_topic_score_codex":0.0000045444617,"about_ca_topic_score_gemma":7.468375e-7,"teacher_disagreement_score":0.3035941,"about_ca_system_score_codex":0.000011862339,"about_ca_system_score_gemma":0.00003700347,"threshold_uncertainty_score":0.9985231},"labels":[],"label_agreement":null},{"id":"W4389147287","doi":"10.54254/2753-8818/14/20240872","title":"Study on flying car transportation system","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Transportation and Mobility Innovations","field":"Engineering","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":"Praxis Spinal Cord Institute","funders":"","keywords":"Transport engineering; Ground transportation; Space (punctuation); Dimension (graph theory); Traffic congestion; Order (exchange); Development (topology); Population; Computer science; Engineering; Business","score_opus":0.009486870210230655,"score_gpt":0.25226301043209853,"score_spread":0.2427761402218679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389147287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979133,0.00000674589,0.0001856598,0.000081343256,0.00022134537,0.00013849488,0.000006352122,0.00041411494,0.0010326548],"genre_scores_gemma":[0.9999139,0.0000021921196,0.000024079753,0.000018234858,0.000012209875,0.000010200392,0.0000054131815,0.000003716722,0.000010058885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994419,0.0000057330208,0.00010322902,0.00012260852,0.00018861699,0.00013789292],"domain_scores_gemma":[0.99981076,0.000036141908,0.000005308051,0.00007010639,0.000029396268,0.0000483099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025132485,0.000054774555,0.00005701789,0.0000904361,0.00015207814,0.000022156883,0.000072872375,0.000015341244,0.000006452505],"category_scores_gemma":[0.000012268676,0.000041458054,0.0000108246095,0.00082899415,0.00024750843,0.00008095558,0.0000019730417,0.00008656374,0.000022237813],"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":[0.000005006476,0.000010260275,0.0010597231,0.000015880687,0.000003076215,0.000006592754,0.0015508874,0.0004007318,0.008298467,0.98636764,0.000008026968,0.0022737202],"study_design_scores_gemma":[0.00033705853,0.000097445234,0.961133,0.0000354867,0.000016644002,0.0000020296986,0.005532078,0.02621255,0.0038978169,0.0024895472,0.00006060963,0.00018573561],"about_ca_topic_score_codex":0.0000024011854,"about_ca_topic_score_gemma":0.000004437023,"teacher_disagreement_score":0.9838781,"about_ca_system_score_codex":0.000017359487,"about_ca_system_score_gemma":0.000008430413,"threshold_uncertainty_score":0.16906103},"labels":[],"label_agreement":null},{"id":"W4389482400","doi":"10.54254/2753-8818/19/20230503","title":"Review of dark matter and detect dark matter using collider","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","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":"York University","funders":"","keywords":"Dark matter; Physics; WIMP; Large Hadron Collider; Particle physics; Scalar field dark matter; Mixed dark matter; Light dark matter; Weakly interacting massive particles; Baryonic dark matter; Limiting; Dark matter halo; Halo; Astrophysics; Cosmology; Dark energy; Galaxy","score_opus":0.007109366561680318,"score_gpt":0.25816457197999637,"score_spread":0.25105520541831605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389482400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9574103,0.001988784,0.00017451885,0.0014628777,0.000117884796,0.00017013878,0.000022425902,0.000015921823,0.038637187],"genre_scores_gemma":[0.99631685,0.000089203866,0.00018141861,0.0033075104,0.000023051158,0.000002847831,0.0000019318159,0.000004911004,0.000072280425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99920285,0.00002718493,0.00014530327,0.00022098901,0.00015663463,0.00024706023],"domain_scores_gemma":[0.9996518,0.000060187762,0.000036158544,0.00013084,0.000035160203,0.00008586327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003701397,0.00009425528,0.00016372238,0.000042731805,0.00012042334,0.00004193645,0.00015761575,0.000006777537,0.0002563288],"category_scores_gemma":[0.000007168096,0.00006356946,0.000028280614,0.00039093388,0.0011535381,0.00012877597,0.00020268883,0.00008997299,0.000048441467],"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":[0.00016059876,0.00014302273,0.1523685,0.0054486464,0.00012536201,0.000011837584,0.0010954561,0.0000037925197,0.16210045,0.4473278,0.12123599,0.10997856],"study_design_scores_gemma":[0.0002456779,0.00003142111,0.03157311,0.0012639234,0.00004489757,0.000010645511,0.00006739164,0.00028447586,0.0013040139,0.96457326,0.00032428055,0.0002769276],"about_ca_topic_score_codex":0.000013812311,"about_ca_topic_score_gemma":5.238973e-8,"teacher_disagreement_score":0.5172455,"about_ca_system_score_codex":0.000006300085,"about_ca_system_score_gemma":0.000026757118,"threshold_uncertainty_score":0.42502594},"labels":[],"label_agreement":null},{"id":"W4389482477","doi":"10.54254/2753-8818/19/20230542","title":"An evaluation of reinforcement learning performance in the iterated prisoner’s dilemma","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Reinforcement Learning in Robotics","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":"University of Cambridge","keywords":"Reinforcement learning; Dilemma; Iterated function; Prisoner's dilemma; Reinforcement; Computer science; Artificial neural network; Artificial intelligence; Psychology; Social psychology; Mathematics","score_opus":0.01822272713279608,"score_gpt":0.29486063010059416,"score_spread":0.27663790296779805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389482477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98297894,0.000018900257,0.014621918,0.00040439572,0.00010633175,0.00020020794,4.8681876e-8,0.00005431203,0.0016149328],"genre_scores_gemma":[0.9994277,0.000021412232,0.00043177852,0.00007236525,0.000012080971,0.000007727088,0.0000022926674,0.0000020216664,0.000022633098],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99791336,0.00019565021,0.00020509289,0.0002423571,0.00114636,0.00029718567],"domain_scores_gemma":[0.9992829,0.00014683987,0.0000668538,0.00026838755,0.00018544601,0.000049588707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058752294,0.000080326994,0.00008648589,0.00015803296,0.00022403983,0.00015799119,0.000916195,0.000025812582,0.000013692816],"category_scores_gemma":[0.000408822,0.00004772685,0.000013721275,0.0018430881,0.0007572473,0.000718865,0.0001971275,0.0002316549,0.000010659978],"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":[0.0000080783975,0.0000073290194,0.0019777361,0.000007717783,0.0000010431916,9.1092437e-7,0.0018719329,0.4512439,0.0024823502,0.52585465,0.000002632169,0.01654175],"study_design_scores_gemma":[0.00017349378,0.00018702961,0.048968233,0.000022336266,0.0000032650269,0.000003469582,0.00007608065,0.9470074,0.0013694207,0.002086489,0.00003137153,0.000071408715],"about_ca_topic_score_codex":0.000004817482,"about_ca_topic_score_gemma":3.1984854e-7,"teacher_disagreement_score":0.5237681,"about_ca_system_score_codex":0.000031924345,"about_ca_system_score_gemma":0.000086801425,"threshold_uncertainty_score":0.27901092},"labels":[],"label_agreement":null},{"id":"W4389482494","doi":"10.54254/2753-8818/18/20230290","title":"Analyze molecular interaction for mixture of argon and particles with different sizes","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Advanced Physical and Chemical Molecular Interactions","field":"Chemistry","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":"Northwestern University; University of Southern California","keywords":"Molecular dynamics; Argon; van der Waals force; Molecule; Chemical physics; Potential energy; RADIUS; Lennard-Jones potential; Chemistry; Statistical physics; Nanotechnology; Materials science; Physics; Atomic physics; Computational chemistry; Computer science","score_opus":0.0036743344575687173,"score_gpt":0.2579393599301447,"score_spread":0.254265025472576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389482494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987228,0.00006265158,0.00040617213,0.00042723914,0.00001733671,0.000033709886,0.000006601571,0.000024926889,0.00029855603],"genre_scores_gemma":[0.9996015,0.00001674396,0.00028664185,0.000033050645,0.000015409492,0.000008492955,0.0000042246807,0.0000037883103,0.000030136434],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994403,0.000004214228,0.000078964404,0.00019127729,0.00012903387,0.00015617521],"domain_scores_gemma":[0.99959713,0.00017194568,0.000028064713,0.00007333634,0.000047823734,0.000081675396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000026015416,0.000074596675,0.0001009652,0.000020080612,0.00007202425,0.000019600895,0.00007216742,0.000022141689,0.00001796785],"category_scores_gemma":[0.00011006806,0.00004306594,0.000026997755,0.0001788237,0.0009868136,0.00007300259,0.000056310866,0.00009854906,5.2723084e-7],"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":[0.00011253533,0.000020405138,0.00007738003,0.000029707684,0.000006667452,0.0000010365534,0.000032204778,0.000005593623,0.86361575,0.12951726,0.0000029479518,0.0065784953],"study_design_scores_gemma":[0.0001537819,0.000043627057,0.00033980375,0.000042017717,0.000017878361,0.0000031569882,0.0000783044,0.0055347746,0.9127169,0.0809109,0.000087996705,0.00007081392],"about_ca_topic_score_codex":0.0000016466752,"about_ca_topic_score_gemma":5.55482e-7,"teacher_disagreement_score":0.049101185,"about_ca_system_score_codex":0.000007286869,"about_ca_system_score_gemma":0.000005816094,"threshold_uncertainty_score":0.36359558},"labels":[],"label_agreement":null},{"id":"W4389482528","doi":"10.54254/2753-8818/18/20230364","title":"Unpaired image neural style transfer based on Non-Local-Attention-Cycle-Consistent adversarial network","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Generative Adversarial Networks and Image Synthesis","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":"Simon Fraser University","funders":"","keywords":"Computer science; Focus (optics); Artificial intelligence; Convolutional neural network; Artificial neural network; Image translation; Image (mathematics); Process (computing); Adversarial system; Field (mathematics); Translation (biology); Network architecture; Transfer of learning; Task (project management); Deep learning; Pattern recognition (psychology); Mathematics; Computer security","score_opus":0.004898753031094457,"score_gpt":0.21499793416206248,"score_spread":0.210099181130968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389482528","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14394894,0.00006635152,0.83733,0.010924626,0.0028137972,0.0005568837,0.000010150572,0.00043264768,0.003916597],"genre_scores_gemma":[0.9943075,0.000009315314,0.00438466,0.0009770931,0.00023681595,0.000011103109,0.000003810906,0.000009094443,0.000060617822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99739957,0.00015419546,0.00024580184,0.0007565637,0.0006597685,0.00078411703],"domain_scores_gemma":[0.9987423,0.00040756768,0.00003144033,0.00040825695,0.00011916103,0.00029130923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011248617,0.00023728092,0.00023678291,0.00013791666,0.0007214339,0.0003364524,0.0008320893,0.00006584567,0.000057001907],"category_scores_gemma":[0.00013547615,0.00016849521,0.00013179104,0.0016596318,0.0024744775,0.0005727636,0.00025937267,0.00026248547,0.00007473311],"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":[0.00042260456,0.00017932963,0.00026628617,0.000029578283,0.000032875974,0.000133222,0.0004139847,0.044551566,0.028138826,0.7897227,0.0021396913,0.13396932],"study_design_scores_gemma":[0.00055795436,0.00017431527,0.007884307,0.00002849972,0.0000125091765,0.0000043580685,0.0000261351,0.9796122,0.0018194511,0.009542103,0.000083631065,0.00025459158],"about_ca_topic_score_codex":0.00001205543,"about_ca_topic_score_gemma":0.0000030146396,"teacher_disagreement_score":0.93506056,"about_ca_system_score_codex":0.000040501734,"about_ca_system_score_gemma":0.00008886347,"threshold_uncertainty_score":0.9117316},"labels":[],"label_agreement":null},{"id":"W4389482545","doi":"10.54254/2753-8818/19/20230535","title":"US recession prediction using statistical and natural language processing methods","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","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":"Simon Fraser University; University of Toronto; Queen's University","funders":"","keywords":"Artificial intelligence; Computer science; Recession; Machine learning; Econometrics; Logistic regression; Support vector machine; Interest rate; Econometric model; Statistical model; Naive Bayes classifier; Convolutional neural network; Natural language processing; Finance; Economics; Macroeconomics","score_opus":0.037482807018988255,"score_gpt":0.3266471547279329,"score_spread":0.2891643477089446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389482545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931706,0.0023568398,0.0026311206,0.00037087302,0.00033767655,0.00008304415,0.000049256832,0.00005705871,0.0009435188],"genre_scores_gemma":[0.9917015,0.00010665825,0.007832494,0.00017168665,0.000084681,0.0000016293415,0.000007354863,0.000006838299,0.00008717035],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890256,0.000028856357,0.0002536645,0.00039324752,0.000043769527,0.00037789933],"domain_scores_gemma":[0.9995342,0.00012979461,0.00007325073,0.00010066676,0.0000087971775,0.00015329708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015108215,0.00010889349,0.00020152425,0.0001774346,0.00034026994,0.00014222309,0.00012523241,0.000054109507,0.00009692657],"category_scores_gemma":[0.0004049766,0.00008853443,0.000019426274,0.00039433042,0.0011821446,0.0004507291,0.00012945382,0.00020067625,0.000027107133],"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":[0.00010293843,0.000023316888,0.015748717,0.00008721113,0.000013039715,0.000011078682,0.0017766367,0.000077872835,0.008829232,0.78508174,0.00007926006,0.18816894],"study_design_scores_gemma":[0.00019047399,0.00003804873,0.081581764,0.000022229984,0.000005119085,0.00003261213,0.00009144904,0.833447,0.00044589458,0.083822675,0.00016644869,0.00015631506],"about_ca_topic_score_codex":0.00008557349,"about_ca_topic_score_gemma":0.000001084919,"teacher_disagreement_score":0.8333691,"about_ca_system_score_codex":0.00004079197,"about_ca_system_score_gemma":0.000015797232,"threshold_uncertainty_score":0.4355661},"labels":[],"label_agreement":null},{"id":"W4389482547","doi":"10.54254/2753-8818/19/20230494","title":"LFSR state sequence image encryption method based on VHDL language","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Chaos-based Image/Signal Encryption","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":"McMaster University","funders":"","keywords":"Encryption; VHDL; Stream cipher; Numeral system; Computer science; Image (mathematics); Diagonal; Correlation coefficient; Sequence (biology); Pixel; State (computer science); Algorithm; Theoretical computer science; Arithmetic; Artificial intelligence; Mathematics; Field-programmable gate array; Computer hardware; Computer security; Machine learning","score_opus":0.007837130240023311,"score_gpt":0.3047592672930888,"score_spread":0.29692213705306547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389482547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5011853,0.00005931975,0.48641974,0.0066304067,0.00062343205,0.0004110088,0.000017895498,0.0010071681,0.0036457386],"genre_scores_gemma":[0.94915015,0.000011657373,0.04970882,0.0009766734,0.00003865949,0.000009287395,0.000004532104,0.00000727645,0.0000929344],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974775,0.00018056479,0.00019099326,0.0007215197,0.00084410305,0.0005853435],"domain_scores_gemma":[0.9985641,0.00056735374,0.000057570942,0.0004487209,0.00011688351,0.00024535926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023843292,0.00018606955,0.0001585301,0.0003013745,0.00032308392,0.00031754628,0.0009430367,0.000042467047,0.000045842284],"category_scores_gemma":[0.0005199056,0.00013544991,0.000052813757,0.0022394229,0.0015130696,0.00087418035,0.00031848002,0.00031190188,0.00023768617],"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":[0.000031810756,0.000021101398,0.000011501655,0.000012629171,0.0000012076157,0.00006274352,0.00035123556,0.00020964458,0.4316512,0.50446165,0.00006658041,0.06311867],"study_design_scores_gemma":[0.00024878792,0.00013336282,0.0015917742,0.00003501593,0.0000031685868,0.000015496898,0.000026836771,0.82485425,0.08817302,0.08466095,0.000040057963,0.00021727638],"about_ca_topic_score_codex":0.000025220224,"about_ca_topic_score_gemma":0.0000011192395,"teacher_disagreement_score":0.8246446,"about_ca_system_score_codex":0.00008674522,"about_ca_system_score_gemma":0.00014272744,"threshold_uncertainty_score":0.55749685},"labels":[],"label_agreement":null},{"id":"W4389482560","doi":"10.54254/2753-8818/18/20230402","title":"Simulating real-time tweet sentiment analysis by different machine learning methods based on spark","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Sentiment Analysis and Opinion Mining","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":"Sentiment analysis; SPARK (programming language); Naive Bayes classifier; Computer science; Machine learning; Artificial intelligence; Decision tree; Pipeline (software); Random forest; Logistic regression; Data mining; Support vector machine","score_opus":0.009934381523975131,"score_gpt":0.3127698872418651,"score_spread":0.30283550571789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389482560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8520636,0.00014148965,0.14026451,0.003267375,0.00026963488,0.00020737668,0.000006620627,0.0005501387,0.0032292383],"genre_scores_gemma":[0.9887685,0.00002226688,0.010600888,0.00016068682,0.00002222308,0.0000027400872,0.00001605368,0.0000052717382,0.00040133612],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99752367,0.00025549225,0.00026565444,0.000702488,0.0007538703,0.000498849],"domain_scores_gemma":[0.9978824,0.0014175244,0.00009597503,0.00032761155,0.000054547363,0.00022191502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002279465,0.00019200027,0.0003216569,0.00045884404,0.00054957584,0.00034882076,0.0006390195,0.000039232775,0.00018118264],"category_scores_gemma":[0.00036032428,0.00012677423,0.00014743212,0.00381095,0.0005083338,0.00018830561,0.00042317717,0.00021997438,0.00004027102],"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":[0.00009000705,0.0003828456,0.052506756,0.000030311377,0.00036547295,0.000033603897,0.0011842792,0.029093038,0.33270067,0.41443795,0.00042838237,0.16874667],"study_design_scores_gemma":[0.00016469862,0.0000917067,0.006087376,0.00001324501,0.000063505155,3.6787307e-7,0.00001270913,0.98070425,0.010720304,0.0018958361,0.000062524174,0.00018347813],"about_ca_topic_score_codex":0.00001319512,"about_ca_topic_score_gemma":3.3262026e-7,"teacher_disagreement_score":0.9516112,"about_ca_system_score_codex":0.00003824742,"about_ca_system_score_gemma":0.000019194229,"threshold_uncertainty_score":0.51697034},"labels":[],"label_agreement":null},{"id":"W4389482563","doi":"10.54254/2753-8818/19/20230486","title":"Simulation of collision using Glauber model","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","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":"York University","funders":"","keywords":"Glauber; Collision; Plot (graphics); Python (programming language); Statistical physics; Distribution (mathematics); Computer science; Nuclear physics; Physics; Computational physics; Mathematics; Statistics; Mathematical analysis; Scattering; Optics","score_opus":0.019401232526338325,"score_gpt":0.34313558283529444,"score_spread":0.32373435030895614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389482563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930547,0.000006707708,0.0059848586,0.00006587751,0.000028663639,0.000055861863,0.000004176728,0.0000126716495,0.0007865108],"genre_scores_gemma":[0.9992532,8.0940697e-7,0.0006345282,0.0000022513843,0.000019422876,0.0000011378123,0.0000011829105,0.0000027212413,0.0000847194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921405,0.000020726606,0.00009511625,0.00015120149,0.00031019832,0.00020870355],"domain_scores_gemma":[0.9995167,0.00018093271,0.000017141674,0.000098616656,0.00010242376,0.00008414209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039409916,0.00004704075,0.00007119104,0.000076879995,0.0001823543,0.000029454328,0.00012766199,0.000013526752,0.000043687163],"category_scores_gemma":[0.00007580042,0.000032052005,0.000019075855,0.0009571543,0.001001768,0.00015428335,0.00015655365,0.00006938289,0.000010051093],"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":[0.000009105115,0.0000068297313,0.0004168417,9.773145e-7,7.7575993e-7,1.4878397e-7,0.000037316404,0.431267,0.027022218,0.5406751,0.0000011367664,0.0005625614],"study_design_scores_gemma":[0.0000905622,0.000011557917,0.0008674987,0.000008402593,0.0000023993414,8.195137e-8,0.000025995689,0.957929,0.010198314,0.030818611,0.0000052985793,0.000042283446],"about_ca_topic_score_codex":0.000014130945,"about_ca_topic_score_gemma":1.0850282e-7,"teacher_disagreement_score":0.526662,"about_ca_system_score_codex":0.000009987386,"about_ca_system_score_gemma":0.00006405596,"threshold_uncertainty_score":0.3691056},"labels":[],"label_agreement":null},{"id":"W4389952111","doi":"10.54254/2753-8818/26/20241083","title":"Embarking on the path to quantum field theory","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","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":"Quantization (signal processing); Harmonic oscillator; Quantum harmonic oscillator; Canonical quantization; Quantum field theory; Physics; Classical mechanics; Coherent states; Field (mathematics); Commutation; Quantum mechanics; Path integral formulation; Quantum; Quantum gravity; Mathematics; Theoretical physics; Pure mathematics","score_opus":0.007512685506077474,"score_gpt":0.26207298148287406,"score_spread":0.2545602959767966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389952111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789952,0.000008401725,0.0026714413,0.010614762,0.00013659312,0.0001414065,0.000005124398,0.000036816687,0.0073902365],"genre_scores_gemma":[0.9987084,0.0000018659414,0.000020180729,0.0011092222,0.00007392331,0.0000169847,8.156101e-7,0.00000311128,0.00006546834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99933225,0.000022784896,0.000064563064,0.00018910474,0.0001643309,0.00022698347],"domain_scores_gemma":[0.99927586,0.0004249437,0.00001289299,0.00015730929,0.000021858343,0.000107136104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068743824,0.00006311464,0.000053783653,0.000032235814,0.00040302618,0.000068766625,0.00026434017,0.000010354444,0.00026403405],"category_scores_gemma":[0.00008358209,0.000032873842,0.0000235846,0.0005342387,0.00028189408,0.000032052398,0.00013290018,0.00013098518,0.00014369281],"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":[0.000006232685,0.0000061972005,0.00001786818,5.1460887e-7,0.0000011410156,1.8479248e-7,0.00008150036,3.4580998e-7,0.0036881422,0.9850353,0.0002254287,0.010937114],"study_design_scores_gemma":[0.000027420005,0.000039586583,0.00045439834,0.0000117117515,0.0000022194865,2.2112124e-7,0.0001968488,0.008268621,0.0051107383,0.9852672,0.00055784534,0.000063157415],"about_ca_topic_score_codex":0.0000046376604,"about_ca_topic_score_gemma":7.63079e-8,"teacher_disagreement_score":0.01971321,"about_ca_system_score_codex":0.0000036308018,"about_ca_system_score_gemma":0.000022456881,"threshold_uncertainty_score":0.30997923},"labels":[],"label_agreement":null},{"id":"W4389975198","doi":"10.54254/2753-8818/25/20240965","title":"Transmission coefficient in double barrier quantum tunnelling effect","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","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":"Rectangular potential barrier; Quantum tunnelling; Transmission coefficient; Quantum; Physics; Classical mechanics; Particle in a box; Particle (ecology); Quantum dissipation; Transmission (telecommunications); Quantum potential; Quantum dynamics; Quantum mechanics; Schrödinger equation; Statistical physics","score_opus":0.005959168075513529,"score_gpt":0.2633021619462269,"score_spread":0.25734299387071335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389975198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931161,0.00003451929,0.005216044,0.0003637052,0.000083654835,0.00015114211,0.0000027912863,0.00003057746,0.0010015012],"genre_scores_gemma":[0.9998577,0.0000068128215,0.000031061212,0.000018424465,0.00002932406,0.000013674672,0.000003638618,0.000003900289,0.00003542601],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99917084,0.0000164368,0.00010341426,0.00024441088,0.00017656217,0.00028832792],"domain_scores_gemma":[0.9996616,0.00009556857,0.000014148173,0.00009267446,0.000017938995,0.00011802378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064662023,0.0000784727,0.00009433642,0.000071751354,0.0002130218,0.00004924313,0.00016098528,0.00001714008,0.0001147827],"category_scores_gemma":[0.0000055676755,0.000051671155,0.000028001832,0.0007910867,0.00040129363,0.00006267079,0.000056433015,0.00014098496,0.000039838287],"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":[0.000017067274,0.000012062597,0.00018187042,0.0000029090186,6.3937483e-7,5.339452e-7,0.000075769225,0.00001953896,0.023715524,0.9667208,0.0000055179025,0.009247723],"study_design_scores_gemma":[0.0003956605,0.000043134052,0.000859344,0.000029069524,0.0000042671313,5.809209e-7,0.000058410762,0.39755028,0.03193612,0.56865853,0.0003418501,0.0001227623],"about_ca_topic_score_codex":0.000017570239,"about_ca_topic_score_gemma":1.4589908e-7,"teacher_disagreement_score":0.39806232,"about_ca_system_score_codex":0.0000075596586,"about_ca_system_score_gemma":0.00002712534,"threshold_uncertainty_score":0.21070886},"labels":[],"label_agreement":null},{"id":"W4390006630","doi":"10.54254/2753-8818/24/20231093","title":"Modeling COVID-19 spreading — evidence from Canada","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"COVID-19 epidemiological studies","field":"Mathematics","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":"Pandemic; Vaccination; Scope (computer science); Coronavirus disease 2019 (COVID-19); Outbreak; Psychological intervention; Political science; Development economics; Geography; Virology; Computer science; Medicine; Economics; Disease","score_opus":0.1849793266700786,"score_gpt":0.4235621683001443,"score_spread":0.2385828416300657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390006630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97999835,0.0004529294,0.0032882073,0.015562117,0.00019512765,0.00012570643,0.000009430585,0.00016805872,0.00020006561],"genre_scores_gemma":[0.9961116,0.00015646701,0.0013647483,0.0022583543,0.00006340016,0.000006692966,7.817703e-7,0.000004636063,0.00003337573],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981496,0.000094190786,0.00023259406,0.00049412885,0.000521713,0.00050778163],"domain_scores_gemma":[0.9898498,0.009477113,0.000034481523,0.00020263418,0.000057720456,0.00037823143],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0020771641,0.00013861948,0.0002526128,0.00004469089,0.00056421914,0.000046783938,0.00045172818,0.00004215351,0.00009920382],"category_scores_gemma":[0.053171247,0.00008556472,0.00003215669,0.00073506346,0.0015233015,0.00014109336,0.0005937359,0.00022266955,0.000011969985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003972011,0.0000064873066,0.0031478698,0.000043584652,0.000008044891,0.00003485758,0.00039168427,0.00044211824,0.0028576858,0.99038404,0.0009782539,0.0016656768],"study_design_scores_gemma":[0.00006486242,0.000014099023,0.0018375335,0.00005314435,0.000010649705,0.0000021008618,0.00012274118,0.2316972,0.0002185193,0.7657609,0.00007674094,0.00014149083],"about_ca_topic_score_codex":0.15971151,"about_ca_topic_score_gemma":0.031106336,"teacher_disagreement_score":0.23125508,"about_ca_system_score_codex":0.00025429067,"about_ca_system_score_gemma":0.00041801835,"threshold_uncertainty_score":0.98657346},"labels":[],"label_agreement":null},{"id":"W4390006845","doi":"10.54254/2753-8818/21/20230897","title":"Pathway analysis of beneficial bacteria in suppression of plant immunity","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","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":"Plant Immunity; Immune system; Biology; Immunity; Microorganism; Bacteria; Immunology; Biochemistry; Genetics; Arabidopsis","score_opus":0.007809499429562541,"score_gpt":0.2220298895502538,"score_spread":0.21422039012069125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390006845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99931645,0.000037198955,6.885048e-8,0.00028448002,0.000057937803,0.000054863725,0.00010357543,0.000016466045,0.0001289586],"genre_scores_gemma":[0.99989694,0.000009898116,0.000023216573,0.000014897961,0.00001576301,0.000001245706,0.000032998232,2.7075967e-7,0.0000047647786],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99903804,0.00006524007,0.0002021063,0.00019297455,0.00027572634,0.00022590214],"domain_scores_gemma":[0.99946594,0.00031225855,0.00005929884,0.000054032545,0.00004968164,0.000058791986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075298524,0.00007101864,0.00021716823,0.000090244845,0.000084364554,0.000013906896,0.00030806995,0.000048144077,0.00016453015],"category_scores_gemma":[0.00018744965,0.000024807654,0.000061753584,0.0032750205,0.0009930453,0.00008955077,0.00020388619,0.00009357861,0.0000019472564],"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":[0.00004579506,0.00002587748,0.011195068,0.000003382842,0.00000752701,0.0000010058501,0.00010038843,4.371476e-7,0.95752376,0.027140286,0.0000021442793,0.003954315],"study_design_scores_gemma":[0.000045896068,0.00006461072,0.72802866,0.000015428039,0.000018988487,5.737193e-7,0.00007695851,0.0007208036,0.2674809,0.0034809783,0.000006890146,0.000059288497],"about_ca_topic_score_codex":0.00020707646,"about_ca_topic_score_gemma":0.000071128394,"teacher_disagreement_score":0.7168336,"about_ca_system_score_codex":0.000009056376,"about_ca_system_score_gemma":0.0000117084755,"threshold_uncertainty_score":0.3658917},"labels":[],"label_agreement":null},{"id":"W4390006951","doi":"10.54254/2753-8818/21/20230859","title":"Application of psilocybin in mental health disorders","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Psychedelics and Drug Studies","field":"Psychology","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":"Psilocybin; Hallucinogen; Antidepressant; Anxiety; Psychology; Psychiatry; Addiction; Pharmacology; Medicine","score_opus":0.007569129651717803,"score_gpt":0.3500842941616106,"score_spread":0.3425151645098928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390006951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9803567,0.0005768343,0.00005122307,0.009863895,0.00021623765,0.00013550457,0.000004634742,0.000022302327,0.008772703],"genre_scores_gemma":[0.99963206,0.0001350269,0.00003324069,0.00013965684,0.000008030053,0.0000070683773,0.000001625749,0.0000016172361,0.00004167353],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99937814,0.000021035105,0.000103635815,0.00017303928,0.00012222672,0.0002019347],"domain_scores_gemma":[0.99979806,0.00004782961,0.000022681194,0.000078707584,0.000009414399,0.000043306456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005369284,0.00004194559,0.00008056952,0.0000783071,0.00008266058,0.000004439273,0.000111773974,0.000014640268,0.000019783141],"category_scores_gemma":[0.000023296634,0.000029530811,0.000011030106,0.00068861136,0.0013459816,0.000026704623,0.0000651395,0.000061286555,0.00002017056],"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":[0.000020632702,0.000022282271,0.0034528943,0.0000032119144,0.0000010756476,9.287135e-8,0.0013129819,2.9047342e-7,0.0008279636,0.936627,0.00015851119,0.057573088],"study_design_scores_gemma":[0.0005940353,0.00015270227,0.63041276,0.00001790102,0.0000014305489,0.0000024366288,0.0020361922,0.0047450075,0.00021310031,0.36001876,0.0016675179,0.00013815734],"about_ca_topic_score_codex":0.0001063477,"about_ca_topic_score_gemma":0.0000297766,"teacher_disagreement_score":0.62695986,"about_ca_system_score_codex":0.000011062429,"about_ca_system_score_gemma":0.000013177534,"threshold_uncertainty_score":0.49593252},"labels":[],"label_agreement":null},{"id":"W4390007004","doi":"10.54254/2753-8818/21/20230861","title":"Beyond smallpox: The emergence of monkeypox as a threat to human health - symptoms and treatment","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Poxvirus research and outbreaks","field":"Immunology and Microbiology","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 Toronto","funders":"","keywords":"Monkeypox; Smallpox; Virology; Orthopoxvirus; Poxviridae; Medicine; Vaccinia; Vaccination; Biology","score_opus":0.012869401178035597,"score_gpt":0.3173503940628759,"score_spread":0.3044809928848403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390007004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917513,0.0018431692,0.0000023049372,0.0040881066,0.0001042106,0.00022449828,0.000014938316,0.000027165104,0.0019442884],"genre_scores_gemma":[0.99829876,0.0006205877,0.000009637737,0.0003027821,0.000011224418,0.000010690094,0.0000042987976,0.000002991124,0.00073903374],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989585,0.00008476319,0.00013112024,0.000267208,0.00008754914,0.00047085749],"domain_scores_gemma":[0.99950725,0.00015516175,0.000024694795,0.00016835479,0.00003622679,0.00010831845],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005541641,0.00009815793,0.00015920936,0.00008489796,0.0005476072,0.000018355622,0.0002618623,0.00003988456,0.00015697638],"category_scores_gemma":[0.000116125346,0.000048620073,0.000027035254,0.00048717312,0.0036561103,0.000051514522,0.00024922774,0.00012561519,0.00009751446],"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":[0.0000922284,0.000026249896,0.0006354322,0.0000050460617,0.000016967746,0.0000023745433,0.001249349,2.8829186e-7,0.1906711,0.7357483,0.00023335904,0.07131933],"study_design_scores_gemma":[0.0024880227,0.008275298,0.28527802,0.00012698266,0.000049136495,0.00021211937,0.0023997917,0.0001942672,0.35866106,0.33476043,0.0068805795,0.0006742867],"about_ca_topic_score_codex":0.0003588024,"about_ca_topic_score_gemma":0.000050176037,"teacher_disagreement_score":0.40098783,"about_ca_system_score_codex":0.00001566942,"about_ca_system_score_gemma":0.000082485414,"threshold_uncertainty_score":0.9990554},"labels":[],"label_agreement":null},{"id":"W4390013059","doi":"10.54254/2753-8818/23/20231039","title":"Analysis of the influence of ketogenic diet on cancer treatment","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Diet and metabolism studies","field":"Medicine","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":"Ketogenic diet; Ketosis; Ketone bodies; Medicine; Cancer; Cancer treatment; Warburg effect; Anaerobic glycolysis; Epilepsy; Endocrinology; Diabetes mellitus; Bioinformatics; Internal medicine; Biology; Cancer cell; Metabolism; Psychiatry","score_opus":0.01024294431918604,"score_gpt":0.30805014217777477,"score_spread":0.2978071978585887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390013059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99770683,0.0003431586,9.484466e-8,0.0009608667,0.00006674307,0.00007520699,0.000008179584,0.0000075349762,0.0008313982],"genre_scores_gemma":[0.9989702,0.00074754853,0.000005625842,0.00009816135,0.000010539177,0.000004012401,3.5202658e-7,0.0000011736156,0.00016237205],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993861,0.000012123942,0.000092592745,0.00012444732,0.00025490223,0.00012987442],"domain_scores_gemma":[0.9996457,0.00008586229,0.000029782808,0.0001279434,0.00006603937,0.00004468192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017790972,0.00005333761,0.00020444763,0.00009833399,0.000064599604,0.0000026342796,0.00008788688,0.0000130519975,0.000020135174],"category_scores_gemma":[0.00016352301,0.000022287635,0.00007733799,0.0018806047,0.0021796594,0.000020100284,0.00006867833,0.000039564395,0.0000012778689],"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":[0.0007041751,0.00013025699,0.31823927,0.00003862531,0.0005198377,0.000002687719,0.0018329485,0.00019721495,0.1357747,0.5185938,0.000027322889,0.023939181],"study_design_scores_gemma":[0.00015165434,0.00017035665,0.9858337,0.000026066467,0.00046626024,1.4843313e-7,0.00004486086,0.00042704944,0.011425361,0.0013646854,0.00006208506,0.000027769995],"about_ca_topic_score_codex":0.000042068332,"about_ca_topic_score_gemma":0.00000708627,"teacher_disagreement_score":0.66759443,"about_ca_system_score_codex":0.00001256751,"about_ca_system_score_gemma":0.000044632372,"threshold_uncertainty_score":0.80310464},"labels":[],"label_agreement":null},{"id":"W4390029943","doi":"10.54254/2753-8818/24/20231108","title":"Comparison of properties of cardiac vascular stent materials","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials 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":"Stent; Nanotechnology; Materials science; Medicine; Surgery","score_opus":0.011642645450159039,"score_gpt":0.280182607189379,"score_spread":0.26853996173921996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390029943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985742,0.0005266476,0.000027463022,0.00031550613,0.0002001735,0.00015804288,0.00001216633,0.00004193609,0.0001438524],"genre_scores_gemma":[0.99897057,0.00006966499,0.0008890949,0.000014721261,0.00002049088,0.000011316477,0.000001554228,0.00000334725,0.000019232131],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986331,0.00005195719,0.00027271913,0.00023174127,0.00054392143,0.00026658556],"domain_scores_gemma":[0.99946374,0.00007588118,0.00007311234,0.00019453008,0.00010943003,0.00008328461],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001183912,0.00007446035,0.00026151404,0.00007121937,0.000114232505,0.000022939994,0.00036961708,0.00003702199,0.00007867301],"category_scores_gemma":[0.00010305746,0.000045015866,0.000031852098,0.000752258,0.0058458378,0.00007903413,0.00023216507,0.000050522005,0.000025247151],"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":[0.000011492697,0.000016881771,0.00009261108,0.000030320662,0.0000016999468,5.0970247e-8,0.00012312089,2.0066064e-7,0.78359246,0.21534704,0.000018516572,0.0007656014],"study_design_scores_gemma":[0.000047614107,0.00006375969,0.0028037943,0.000035119723,0.000010619643,4.89637e-7,0.000058959085,0.00015191564,0.9855034,0.011196369,0.00006407879,0.0000638782],"about_ca_topic_score_codex":0.000012739482,"about_ca_topic_score_gemma":1.3914408e-7,"teacher_disagreement_score":0.20415066,"about_ca_system_score_codex":0.0000133880385,"about_ca_system_score_gemma":0.000053471187,"threshold_uncertainty_score":0.99685967},"labels":[],"label_agreement":null},{"id":"W4390030675","doi":"10.54254/2753-8818/24/20231150","title":"Next generation armored CAR-T cells with a drug inducible cytokine circuit","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"CAR-T cell therapy research","field":"Medicine","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":"McMaster University","funders":"","keywords":"Chimeric antigen receptor; Immune system; Immunotherapy; Tumor microenvironment; Cytokine; Cancer immunotherapy; Cancer research; T cell; Biology; Immunology","score_opus":0.033263182813825634,"score_gpt":0.297694995493518,"score_spread":0.2644318126796924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390030675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933868,0.00009519301,0.000021141617,0.0019677836,0.0001164276,0.00028222418,0.000002766526,0.00008276673,0.004044873],"genre_scores_gemma":[0.9959309,0.00010253931,0.00012832871,0.0003080624,0.00018102939,0.000009524478,0.000008910989,0.000010165147,0.0033205345],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99829626,0.000036762867,0.00011314261,0.00039634688,0.0007161826,0.000441313],"domain_scores_gemma":[0.9992588,0.00009225722,0.000018646844,0.00023290208,0.00012985893,0.00026750445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008539496,0.000109551525,0.00016377661,0.00016874155,0.00020744304,0.000099106735,0.00016010212,0.00003909364,0.0005992222],"category_scores_gemma":[0.00010236733,0.00006564462,0.00002749795,0.0015066565,0.0022239082,0.0001532353,0.00009926322,0.0002940283,0.00006149935],"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":[0.00013119676,0.000018194916,0.00015000465,0.000011669318,0.0000053773047,0.00003656446,0.0003002697,0.0000020824846,0.93288624,0.05389896,0.00019028921,0.012369168],"study_design_scores_gemma":[0.0013298747,0.00048147514,0.0057046274,0.000060185208,0.000030434509,0.00013861315,0.00023514901,0.021094011,0.9612491,0.008443597,0.000991119,0.00024179101],"about_ca_topic_score_codex":0.000027916301,"about_ca_topic_score_gemma":0.000004067107,"teacher_disagreement_score":0.045455363,"about_ca_system_score_codex":0.000054858217,"about_ca_system_score_gemma":0.00017525828,"threshold_uncertainty_score":0.81940824},"labels":[],"label_agreement":null},{"id":"W4390031410","doi":"10.54254/2753-8818/24/20231122","title":"Research on the neural circuits and treatment of anxiety","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Memory and Neural Mechanisms","field":"Neuroscience","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":"Anxiety; Amygdala; Anterior cingulate cortex; Psychological intervention; Neuroscience; Psychology; Prefrontal cortex; Stria terminalis; Biological neural network; Modalities; Clinical psychology; Psychiatry; Medicine; Cognition","score_opus":0.13369822200176124,"score_gpt":0.3854917770187492,"score_spread":0.25179355501698797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390031410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939528,0.000031876167,5.181432e-7,0.003220494,0.00013851469,0.00018453416,0.0000037858174,0.000030368521,0.0024371226],"genre_scores_gemma":[0.99921244,0.00030127013,0.000002540332,0.000265041,0.000028019138,0.0000075810267,1.1197409e-7,0.0000031911995,0.00017978545],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99843985,0.00020809239,0.00009106914,0.0003727568,0.000521763,0.00036646775],"domain_scores_gemma":[0.9982706,0.0013825019,0.000017466744,0.0001808279,0.000031073265,0.00011753251],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00096960366,0.00008292059,0.000095028576,0.00009772439,0.0005608393,0.000053393996,0.0002668285,0.000025483743,0.00004343526],"category_scores_gemma":[0.00064781535,0.000038524395,0.000020710164,0.0012111552,0.00456443,0.000090335634,0.00013895963,0.00015908235,0.000022962748],"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":[0.000018423132,0.000010505176,0.000010062565,0.0000015040221,1.7676379e-7,0.0000040242367,0.00009673394,3.4353053e-7,0.464543,0.5194318,0.0000050148155,0.015878394],"study_design_scores_gemma":[0.000114084214,0.00052339863,0.0019034868,0.000008551452,0.0000016078119,0.000023767676,0.000093738,0.0041747955,0.92033744,0.07270938,0.000055252138,0.000054503085],"about_ca_topic_score_codex":0.0000016812297,"about_ca_topic_score_gemma":3.1775673e-7,"teacher_disagreement_score":0.45579442,"about_ca_system_score_codex":0.0000119482775,"about_ca_system_score_gemma":0.000020805557,"threshold_uncertainty_score":0.99814457},"labels":[],"label_agreement":null},{"id":"W4390032108","doi":"10.54254/2753-8818/24/20231094","title":"The use of oncolytic virus to combat neuroblastoma","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","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":"St. Stephen's University","funders":"","keywords":"Oncolytic virus; Neuroblastoma; Virus; Monoclonal antibody; Virology; Cancer research; Antigen; Medicine; Antibody; Biology; Immunology; Cell culture","score_opus":0.018486223188522558,"score_gpt":0.3106198988886359,"score_spread":0.29213367570011334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390032108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99829394,0.0001168343,0.000014276078,0.0012571956,0.00008360323,0.00012926025,0.000005190402,0.000010584041,0.0000891313],"genre_scores_gemma":[0.9990796,0.00020875428,0.000044794273,0.00037815011,0.000030891137,0.0000051428724,0.0000014659217,0.000005427318,0.0002458173],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99901706,0.00005954521,0.000096241834,0.00023194325,0.0002828791,0.00031230226],"domain_scores_gemma":[0.999387,0.000131303,0.000016130029,0.00024667554,0.00008154904,0.00013729594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005563883,0.000069473535,0.00006745705,0.00004494585,0.00022217724,0.00005365553,0.00036053068,0.00002902815,0.000008279752],"category_scores_gemma":[0.0005150292,0.00004031943,0.000027127537,0.0005717943,0.002197238,0.00000514934,0.00035207055,0.00008568428,0.000021216198],"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":[0.00069896306,0.0000081351745,0.000026468844,0.0000019184788,0.0000029367648,0.0000014156799,0.000017064354,0.00002190049,0.96929854,0.015208549,0.00038161498,0.0143324835],"study_design_scores_gemma":[0.00018438305,0.002013251,0.0040135826,0.0000076022116,0.0000029840983,0.0000069464263,0.000015913609,0.002216559,0.9828876,0.002124155,0.0064198403,0.00010714081],"about_ca_topic_score_codex":0.0000055589035,"about_ca_topic_score_gemma":0.000021991877,"teacher_disagreement_score":0.014225343,"about_ca_system_score_codex":0.000006233265,"about_ca_system_score_gemma":0.00007213928,"threshold_uncertainty_score":0.80958146},"labels":[],"label_agreement":null},{"id":"W4390196927","doi":"10.54254/2753-8818/28/20230401","title":"Using upsampling CONV-LSTM with metadata embedding for respiratory sound classification","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","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":"Upsampling; Computer science; Speech recognition; Artificial intelligence; Auscultation; Convolutional neural network; Embedding; Respiratory sounds; Wheeze; Medicine; Respiratory system; Internal medicine","score_opus":0.0786082404058917,"score_gpt":0.3967162927872392,"score_spread":0.3181080523813475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390196927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9256746,0.00015150076,0.07301627,0.00034544346,0.000056223584,0.00029891462,0.0000077081995,0.00015525354,0.00029407127],"genre_scores_gemma":[0.9868708,0.000017045626,0.012794607,0.00023358484,0.00004550211,0.000011614476,0.000006904705,0.0000052725313,0.000014648748],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999206,0.000015471916,0.00010514923,0.00024834415,0.00022008085,0.00020493209],"domain_scores_gemma":[0.99948215,0.0001504801,0.000033821234,0.000117959935,0.00012212658,0.00009348147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008449631,0.00007140319,0.000121891986,0.00015972574,0.00028594316,0.000067972935,0.000084822044,0.00003072468,0.0000037497414],"category_scores_gemma":[0.00023982294,0.00004451113,0.0000346223,0.0008360883,0.0014156476,0.00028086186,0.00003600917,0.000098057484,9.998556e-7],"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":[0.00015626337,0.000009450395,0.00080975203,0.000038664602,0.000014287029,0.0000025802387,0.00012433811,0.000007880385,0.24218589,0.75295424,0.000018073206,0.0036785468],"study_design_scores_gemma":[0.002331546,0.00095288013,0.06106204,0.00051962514,0.0003917237,0.00012541839,0.0017723829,0.24747713,0.2454976,0.4375247,0.0016043945,0.0007405492],"about_ca_topic_score_codex":0.0000013462821,"about_ca_topic_score_gemma":1.7069782e-7,"teacher_disagreement_score":0.31542957,"about_ca_system_score_codex":0.000016929273,"about_ca_system_score_gemma":0.000057693855,"threshold_uncertainty_score":0.52160126},"labels":[],"label_agreement":null},{"id":"W4392470158","doi":"10.54254/2753-8818/32/20240813","title":"Glucagon-like peptide-1 analogs for Alzheimer’s disease -- A systematic meta-analysis","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Diabetes Treatment and Management","field":"Medicine","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":"Pierre Elliott Trudeau Foundation","funders":"","keywords":"Alzheimer's disease; Medicine; Internal medicine; Meta-analysis; Randomized controlled trial; Dementia; Placebo; Disease; Pathology","score_opus":0.029074830681181302,"score_gpt":0.3159515157028707,"score_spread":0.2868766850216894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392470158","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43837312,0.4713201,0.006915414,0.050438635,0.0019111948,0.012427626,0.00022642144,0.0011302278,0.017257258],"genre_scores_gemma":[0.9974631,0.00005208172,0.0005333631,0.00058021734,0.000026215093,0.00011741302,0.000014876238,0.0000059557815,0.0012067512],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9987006,0.000026104275,0.00018556885,0.00041722643,0.00037420864,0.00029624917],"domain_scores_gemma":[0.9991502,0.00023969574,0.00002224661,0.00023106318,0.000061842286,0.0002949606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007146543,0.00014484757,0.00054422696,0.000235429,0.00012055388,0.00014772263,0.00012864695,0.000019145624,0.0001652809],"category_scores_gemma":[0.000119014796,0.00007194471,0.0005272351,0.00096555037,0.0009009668,0.0001302629,0.00008043378,0.000064656015,0.000023079921],"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":[0.00005918871,0.000057277113,0.000051966177,0.0018982625,0.02600721,0.000035228015,0.000069195456,0.0000015049054,0.00011194069,0.9709497,0.00019408646,0.00056442444],"study_design_scores_gemma":[0.00039265145,0.0003050036,0.0018300415,0.00029049482,0.8882245,0.0000069329226,0.00007503068,0.05968943,0.00035070104,0.04795482,0.0005885961,0.000291809],"about_ca_topic_score_codex":0.0000031442924,"about_ca_topic_score_gemma":0.0000010946773,"teacher_disagreement_score":0.9229949,"about_ca_system_score_codex":0.000024087289,"about_ca_system_score_gemma":0.00004982772,"threshold_uncertainty_score":0.33196497},"labels":[],"label_agreement":null},{"id":"W4392470276","doi":"10.54254/2753-8818/32/20240779","title":"Unveiling the evolutionary significance: Atavism’s transition from ancestral traits to a fundamental biological phenomenon","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","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","funders":"","keywords":"Phenomenon; Transition (genetics); Adaptation (eye); Epistemology; Biology; Philosophy; Gene; Genetics; Neuroscience","score_opus":0.006657902040069742,"score_gpt":0.2855998730665112,"score_spread":0.27894197102644147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392470276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893121,0.0037849091,0.0052491883,0.0010235123,0.00021514522,0.00012771247,0.000033258933,0.00002209106,0.00023206051],"genre_scores_gemma":[0.9986383,0.00009718213,0.0006894357,0.0002725849,0.0002491231,0.0000092054825,0.000017260809,0.000004347648,0.000022568845],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99915504,0.000020717252,0.00009197605,0.0003583875,0.00014008161,0.00023382125],"domain_scores_gemma":[0.9997591,0.000034541972,0.000005666693,0.00007953753,0.000017260034,0.000103897495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020182392,0.00009697993,0.00006459809,0.000022002243,0.00014810693,0.00006784763,0.00017260651,0.000044289234,0.000049402282],"category_scores_gemma":[0.000029829558,0.000057393336,0.000033572658,0.00020242928,0.0008694898,0.000007801978,0.000065539534,0.00011326686,0.000008666628],"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":[0.000052328247,0.000009585489,0.000025901543,0.000004754118,0.0000057345824,0.000002540012,0.00021695693,0.00009052999,0.9691975,0.02111272,0.000051637213,0.009229798],"study_design_scores_gemma":[0.0010185199,0.0023823425,0.16091497,0.0002766497,0.00009276103,0.00016711437,0.0020612872,0.051878087,0.6918064,0.06484131,0.02288081,0.0016797702],"about_ca_topic_score_codex":0.000006937186,"about_ca_topic_score_gemma":0.0000012853404,"teacher_disagreement_score":0.27739114,"about_ca_system_score_codex":0.000015031756,"about_ca_system_score_gemma":0.000044476703,"threshold_uncertainty_score":0.32036713},"labels":[],"label_agreement":null},{"id":"W4392470481","doi":"10.54254/2753-8818/32/20240812","title":"The impact of diabetes on postoperative infections in colorectal cancer: A meta-analysis","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","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":"Funnel plot; Publication bias; Medicine; Meta-analysis; Colorectal cancer; Inclusion and exclusion criteria; Subgroup analysis; Diabetes mellitus; Internal medicine; Odds ratio; Cancer; Pathology; Alternative medicine","score_opus":0.012655575007154442,"score_gpt":0.3345737635475564,"score_spread":0.321918188540402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392470481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99189323,0.0023419678,0.0000028170916,0.00426177,0.00005322928,0.0001266436,0.0000058717774,0.000010814641,0.0013036834],"genre_scores_gemma":[0.99968845,0.00010334019,0.0000073920314,0.00007409723,0.000010784524,0.00001293235,5.932084e-7,0.0000015430613,0.000100868645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993824,0.00002413402,0.00009736278,0.00015333372,0.00018482466,0.00015797952],"domain_scores_gemma":[0.99952036,0.0003198225,0.000012515516,0.000060792987,0.000037701786,0.00004881866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039574708,0.00006643105,0.00023525915,0.00018113528,0.00008660213,0.000047344307,0.00006699758,0.00001298687,0.00017301504],"category_scores_gemma":[0.00012083565,0.000026072554,0.00023719408,0.0017273581,0.0011634812,0.00005848047,0.00004123451,0.00013113127,0.000001372589],"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":[0.00016994603,0.00008920754,0.087843105,0.000021796235,0.013666914,0.000008581244,0.00057351583,0.00016415605,0.0077516995,0.87658423,0.00013393769,0.012992887],"study_design_scores_gemma":[0.00036882982,0.001323051,0.92235655,0.000024629573,0.021312924,0.0000037919306,0.0001037915,0.035719503,0.005260949,0.0133089265,0.00006655832,0.00015048397],"about_ca_topic_score_codex":0.00014624173,"about_ca_topic_score_gemma":0.000055819037,"teacher_disagreement_score":0.86327535,"about_ca_system_score_codex":0.00006049903,"about_ca_system_score_gemma":0.00007442495,"threshold_uncertainty_score":0.42868945},"labels":[],"label_agreement":null},{"id":"W4399100348","doi":"10.54254/2753-8818/36/20240515","title":"Key parameters and major components in wearable electronics","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","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 Alberta","funders":"","keywords":"Wearable computer; Wearable technology; Electronics; Key (lock); Computer science; Power management; Health management system; Human–computer interaction; Scale (ratio); Risk analysis (engineering); Systems engineering; Data science; Embedded system; Computer security; Engineering; Power (physics); Electrical engineering; Medicine","score_opus":0.006725865180411224,"score_gpt":0.2200273683470522,"score_spread":0.21330150316664098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399100348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959742,0.0025217086,0.00011337147,0.00008232837,0.0001965254,0.000028846294,9.574807e-7,0.00009201647,0.000990065],"genre_scores_gemma":[0.99876976,0.00033679197,0.0008281114,0.000022155147,0.000011024196,0.0000013361504,4.1378274e-7,0.000005088923,0.000025313786],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994548,0.000009061674,0.000071204464,0.00014314472,0.00008342533,0.00023838656],"domain_scores_gemma":[0.99981785,0.00007012518,0.000002538239,0.000043090906,0.0000048622937,0.000061508086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018653207,0.00006567998,0.000075904194,0.00004959496,0.000043288856,0.000090557194,0.00006292939,0.000021412146,0.000008907895],"category_scores_gemma":[0.00003932383,0.00004738755,0.000006435277,0.00019585586,0.00056119385,0.00014849809,0.000029696048,0.000112482325,0.0000042641495],"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":[0.000012092372,0.000003036457,0.00004115857,0.00004603226,0.0000025839965,0.000012631946,0.00011069407,0.0008171698,0.42604247,0.56383646,0.0000042691718,0.00907143],"study_design_scores_gemma":[0.00033013753,0.00008231294,0.0053916774,0.0003236414,0.0000124409935,0.00010455084,0.000034422832,0.48739234,0.1580618,0.34680825,0.0009961515,0.00046227165],"about_ca_topic_score_codex":0.0000065961535,"about_ca_topic_score_gemma":0.0000017985344,"teacher_disagreement_score":0.4865752,"about_ca_system_score_codex":0.000021100997,"about_ca_system_score_gemma":0.0000062621716,"threshold_uncertainty_score":0.20677422},"labels":[],"label_agreement":null},{"id":"W4399293282","doi":"10.54254/2753-8818/37/20240157","title":"Using cellular automata and multi-criteria evaluation to simulate the wildfire expansion in Prince George, British Co-lumbia","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Fire effects on ecosystems","field":"Environmental 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":"Simon Fraser University","funders":"","keywords":"Cellular automaton; Computer science; George (robot); Flexibility (engineering); Event (particle physics); Operations research; Natural disaster; Grid; Tornado; Property (philosophy); Environmental resource management; Meteorology; Environmental science; Artificial intelligence; Geography; Engineering","score_opus":0.010609582433983241,"score_gpt":0.29810674172043405,"score_spread":0.2874971592864508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399293282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978202,0.00045826533,0.000270327,0.0003846225,0.0002668112,0.00053115597,0.0000036559916,0.00004417789,0.00022076957],"genre_scores_gemma":[0.999186,0.000015234792,0.0005820433,0.00013473627,0.000022320275,0.000008202528,0.0000011354214,0.000007710583,0.000042614218],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982214,0.00015868571,0.00016659177,0.0005221438,0.0005628834,0.00036829207],"domain_scores_gemma":[0.99950457,0.00015513772,0.000018514509,0.00017445766,0.000008594633,0.00013872664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028001722,0.00011112075,0.00011443947,0.000040350853,0.00029391915,0.00037375875,0.0002627935,0.0000448469,0.00014493336],"category_scores_gemma":[0.0002683064,0.0000804777,0.000016177924,0.00059599,0.0014953982,0.0005289186,0.0003654236,0.00016906498,0.000038826332],"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":[0.000039406557,0.00006325186,0.006514046,0.00006161667,0.0000037203972,0.00009393972,0.0017142677,0.00041288164,0.65124404,0.00390578,0.00006171672,0.33588535],"study_design_scores_gemma":[0.00016280974,0.000034188968,0.07781975,0.00016461953,0.0000072958824,0.000057913476,0.000026338123,0.9177106,0.0019982364,0.0017594257,0.00012288513,0.00013593414],"about_ca_topic_score_codex":0.00087132066,"about_ca_topic_score_gemma":0.00019372597,"teacher_disagreement_score":0.9172977,"about_ca_system_score_codex":0.00013780103,"about_ca_system_score_gemma":0.000025452544,"threshold_uncertainty_score":0.55098575},"labels":[],"label_agreement":null},{"id":"W4399357137","doi":"10.54254/2753-8818/38/20240551","title":"Navigating the confluence of econometrics and data science: Implications for economic analysis and policy","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","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 Ottawa","funders":"","keywords":"Transformative learning; Big data; Data science; Field (mathematics); Computer science; Analytics; Artificial intelligence; Machine learning; Management science; Economics; Data mining; Sociology","score_opus":0.03123328318977385,"score_gpt":0.3306939824711874,"score_spread":0.29946069928141356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399357137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98766637,0.003017861,0.0020039412,0.0051626023,0.00008640866,0.00017105529,0.0006297776,0.000010390208,0.0012516025],"genre_scores_gemma":[0.9986129,0.000521536,0.0007373355,0.000077621255,0.000027973321,0.0000047006533,0.0000059913577,0.0000030543872,0.000008895001],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988238,0.000006672688,0.00029459785,0.0006088781,0.000034410954,0.0002316361],"domain_scores_gemma":[0.99885494,0.00052993634,0.00008389867,0.00039204324,0.000033362878,0.00010584012],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0033943325,0.00008001635,0.00019934615,0.00025730886,0.00038309203,0.00033397504,0.00056107604,0.000027316346,0.000017547742],"category_scores_gemma":[0.0007188502,0.00005761992,0.000029088753,0.0015056512,0.005398103,0.0005204494,0.00048009818,0.00013674532,7.674892e-7],"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":[0.0000030070955,0.0000030190959,0.030516636,0.000016437572,0.0000135496375,2.5286306e-8,0.00008127264,0.000001288783,0.00008693055,0.9535839,0.0000011267485,0.015692832],"study_design_scores_gemma":[0.00004353488,0.000016181757,0.15340507,0.0000056223485,0.00001878918,0.000002782079,0.000019542102,0.4919694,0.000024625138,0.35425434,0.00017109032,0.00006900469],"about_ca_topic_score_codex":0.0002085268,"about_ca_topic_score_gemma":0.000012446063,"teacher_disagreement_score":0.59932953,"about_ca_system_score_codex":0.000043508702,"about_ca_system_score_gemma":0.0001123922,"threshold_uncertainty_score":0.9973086},"labels":[],"label_agreement":null},{"id":"W4399893237","doi":"10.54254/2753-8818/39/20240600","title":"Predicting song popularity in the digital age through Spotify’s data","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Music and Audio Processing","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":"Popularity; Computer science; Homoscedasticity; Duration (music); Musical; Popular music; Robustness (evolution); Advertising; Heteroscedasticity; Psychology; Machine learning; Social psychology; Art; Business; Visual arts","score_opus":0.02278943954215944,"score_gpt":0.2949674253168156,"score_spread":0.27217798577465613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399893237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8812398,0.0033623439,0.058353852,0.022421977,0.001139672,0.00024550315,0.0000146195425,0.0003094803,0.032912754],"genre_scores_gemma":[0.9965892,0.000012815635,0.0025471977,0.0007427036,0.000083480794,9.614486e-7,0.0000023075283,0.0000021100946,0.000019210844],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985518,0.000032351643,0.0001284266,0.00052579306,0.0004365328,0.00032510297],"domain_scores_gemma":[0.9993007,0.00020445103,0.000014956802,0.0004150947,0.000013570773,0.00005118602],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0013432347,0.00008897909,0.00008299445,0.00003808909,0.00027184235,0.0019914317,0.0020738018,0.000027652142,0.0000054581797],"category_scores_gemma":[0.00031855612,0.000046451834,0.000015513699,0.0009488961,0.0014927485,0.0022374068,0.0011387262,0.0003392204,0.000006648971],"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":[0.0000015424857,0.00000770022,0.0003060742,0.000011968907,6.755309e-7,0.00005836883,0.00090784306,3.5641875e-7,0.00012749796,0.9246255,0.000038543538,0.07391393],"study_design_scores_gemma":[0.000091200265,0.000040218274,0.009716465,0.00017951336,0.0000052236433,0.00018461038,0.0001708614,0.31226453,0.00021862859,0.67461985,0.0022966554,0.00021223254],"about_ca_topic_score_codex":0.000015055181,"about_ca_topic_score_gemma":0.0000026592345,"teacher_disagreement_score":0.31226417,"about_ca_system_score_codex":0.00001381923,"about_ca_system_score_gemma":0.00007783994,"threshold_uncertainty_score":0.9990446},"labels":[],"label_agreement":null},{"id":"W4399893344","doi":"10.54254/2753-8818/39/20240592","title":"Applications of three distinct regression models in GDP predication","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"Proper linear model; Regression diagnostic; Linear regression; Regression analysis; Econometrics; Regression; Segmented regression; Linear model; Cross-sectional regression; Nonlinear regression; Local regression; Statistics; Simple linear regression; Linear predictor function; Mathematics; Polynomial regression; Computer science","score_opus":0.012941286351029004,"score_gpt":0.23277025236438623,"score_spread":0.21982896601335722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399893344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9340972,0.008262681,0.019388683,0.0022410671,0.00027352897,0.00032890085,0.00023236132,0.000041810574,0.035133775],"genre_scores_gemma":[0.9994835,0.00006098291,0.00032460055,0.000013461708,0.000034459685,0.00001732406,0.000005027711,0.000002783756,0.000057805835],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99930245,0.000005019054,0.00020691214,0.00031921364,0.000030908384,0.00013547928],"domain_scores_gemma":[0.9996646,0.00008896771,0.00004269327,0.00013948674,0.000012500439,0.000051738218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007550326,0.00005413068,0.00011757453,0.00013652172,0.000053863674,0.000033697383,0.00016221523,0.00003183146,0.00015942781],"category_scores_gemma":[0.00010638608,0.000042898595,0.000020258578,0.0004270329,0.0009352738,0.0003075799,0.00006682431,0.000117094016,0.000023636703],"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":[0.0000057515026,0.000011199067,0.0030732471,0.00002198555,9.4192757e-7,1.5589843e-7,0.000059426162,0.000001992715,0.00008366674,0.9784985,0.000021905184,0.018221216],"study_design_scores_gemma":[0.000041095725,0.000012867151,0.019135525,0.00002505371,9.602205e-7,0.000001773883,0.0000039470306,0.068770856,0.00017560682,0.911108,0.00066693313,0.000057385892],"about_ca_topic_score_codex":0.00003180484,"about_ca_topic_score_gemma":0.000010914931,"teacher_disagreement_score":0.06876887,"about_ca_system_score_codex":0.000027151496,"about_ca_system_score_gemma":0.000025212372,"threshold_uncertainty_score":0.34460554},"labels":[],"label_agreement":null},{"id":"W4399984770","doi":"10.54254/2753-8818/38/20240514","title":"Dynamics of dispersal: Modeling the impact of dandelion proliferation on environmental and economic equilibria","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dandelion; Biological dispersal; Creatures; Seed dispersal; Population; Differential (mechanical device); Fuzzy logic; Sensitivity (control systems); Geography; Ecology; Computer science; Biology; Engineering; Artificial intelligence; Sociology","score_opus":0.004179572883745954,"score_gpt":0.24499884180587314,"score_spread":0.24081926892212718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399984770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99817306,0.00013002715,0.00021946711,0.00046258705,0.00004718905,0.000081808554,0.00000773847,0.0000058225796,0.00087228254],"genre_scores_gemma":[0.9998273,0.00009760142,0.00003846882,0.000012136226,0.000006737246,0.0000015378101,0.0000015056617,0.0000021428841,0.000012547816],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951416,0.000019948699,0.000104083505,0.00016304951,0.00009555369,0.00010320342],"domain_scores_gemma":[0.99979377,0.00009693314,0.000019596624,0.000058169735,0.0000017865381,0.000029767909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033031704,0.000059841073,0.00007097839,0.000022387863,0.00011199853,0.00001744143,0.00008503723,0.000022004047,0.00007389781],"category_scores_gemma":[0.000019508489,0.00003141282,0.000023589302,0.000059480266,0.0026306743,0.00015012649,0.00012738777,0.000078293655,0.0000050402396],"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":[0.000076230615,0.000025313606,0.027877063,0.000009325913,0.000013004466,5.015042e-7,0.0007339057,0.009677133,0.023785435,0.9334725,0.0000039333618,0.0043256595],"study_design_scores_gemma":[0.000046227302,0.00011337337,0.03210524,0.000007919107,0.000006261668,0.0000042427205,0.00005162455,0.92304295,0.00023993754,0.044343736,1.7992515e-7,0.000038313352],"about_ca_topic_score_codex":0.00003027674,"about_ca_topic_score_gemma":0.000021169115,"teacher_disagreement_score":0.91336584,"about_ca_system_score_codex":0.000079957514,"about_ca_system_score_gemma":0.000010582687,"threshold_uncertainty_score":0.9692829},"labels":[],"label_agreement":null},{"id":"W4400835559","doi":"10.54254/2753-8818/16/20240550","title":"Review of mutant p53 protein and the p53 targeting therapy in cancer treatment","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Cancer-related Molecular Pathways","field":"Medicine","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":"Bishop's University","funders":"","keywords":"Mutant; P53 protein; Cancer; Cancer research; Cancer therapy; Medicine; Biology; Internal medicine; Genetics; Gene","score_opus":0.01057745220985237,"score_gpt":0.29994817970524834,"score_spread":0.289370727495396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400835559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90209967,0.088183194,0.000001815295,0.008564699,0.0000467,0.00075182447,0.0000027384299,0.000016625714,0.0003327256],"genre_scores_gemma":[0.92614824,0.07318925,0.000040438572,0.0005282915,0.000018727405,0.000044326986,8.2557784e-7,0.0000038347043,0.000026079471],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991744,0.000055020348,0.00015403608,0.00019862203,0.00021735414,0.00020054232],"domain_scores_gemma":[0.99966115,0.00007880403,0.000035642886,0.00011025727,0.000047230427,0.00006693941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008793929,0.0000817092,0.00021393356,0.000047042773,0.000065582826,0.000008060405,0.000072461386,0.000024695975,0.000044376848],"category_scores_gemma":[0.00029120906,0.000036596775,0.000032487394,0.00070114597,0.0021818073,0.000029020577,0.000050194813,0.00012538448,0.0000015745276],"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":[0.0010044328,0.000082890125,0.00032626628,0.0007879234,0.000029248671,0.0000450101,0.0011588926,0.000001939547,0.49217188,0.25270736,0.00005503105,0.2516291],"study_design_scores_gemma":[0.023287933,0.003568704,0.021822356,0.03404021,0.00026564058,0.0002358838,0.0005285552,0.021701144,0.8141647,0.07091558,0.008544017,0.00092530117],"about_ca_topic_score_codex":0.00011337631,"about_ca_topic_score_gemma":0.0000044503367,"teacher_disagreement_score":0.32199278,"about_ca_system_score_codex":0.000050088158,"about_ca_system_score_gemma":0.00012123793,"threshold_uncertainty_score":0.80389595},"labels":[],"label_agreement":null},{"id":"W4400835623","doi":"10.54254/2753-8818/16/20240528","title":"Analysis of the influence factors of coffee on human life","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Coffee research and impacts","field":"Medicine","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":"McMaster University","funders":"","keywords":"Food science; Psychology; Chemistry","score_opus":0.024046283943703346,"score_gpt":0.36461429860449757,"score_spread":0.3405680146607942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400835623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980632,0.000030070192,4.9497385e-7,0.0008526274,0.000019546238,0.00008058854,0.000005494362,0.000009561585,0.0009384024],"genre_scores_gemma":[0.9998168,0.000017058028,0.0000026811904,0.00010785697,0.0000061406586,4.2118685e-7,0.0000010654909,0.0000014404324,0.00004657589],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99894285,0.000028929277,0.00011211493,0.00012736792,0.00058230147,0.00020643749],"domain_scores_gemma":[0.9992446,0.0002468063,0.00003106797,0.00018625519,0.000096268304,0.00019500403],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004698775,0.00005143264,0.00017474523,0.00022794609,0.000098550125,0.000008537728,0.00018605737,0.000019884426,0.00007557174],"category_scores_gemma":[0.0022658713,0.000022984146,0.00006826766,0.0029754397,0.0032939832,0.00004404368,0.00012129756,0.00013371649,0.0000021418643],"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":[0.0001401351,0.00005588165,0.17043017,0.00004035988,0.000087608336,0.0000021398064,0.00042052628,0.00001948184,0.42934868,0.39789099,0.00004528107,0.0015187415],"study_design_scores_gemma":[0.00011312077,0.00020138099,0.9640079,0.00003580615,0.00006727548,4.2305362e-7,0.000047188834,0.0009136179,0.03188786,0.0026909155,0.000006363206,0.000028135388],"about_ca_topic_score_codex":0.000028960081,"about_ca_topic_score_gemma":0.0000023717064,"teacher_disagreement_score":0.79357773,"about_ca_system_score_codex":0.000011519701,"about_ca_system_score_gemma":0.00009025065,"threshold_uncertainty_score":0.9994185},"labels":[],"label_agreement":null},{"id":"W4400835661","doi":"10.54254/2753-8818/16/20240592","title":"Analysis of the relationship between Alzheimer’s disease and type 2 diabetes","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Neurological Disorders and Treatments","field":"Neuroscience","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":"Alzheimer's disease; Type 2 diabetes; Disease; Diabetes mellitus; Medicine; Internal medicine; Endocrinology","score_opus":0.04227194202402198,"score_gpt":0.30484202647229597,"score_spread":0.262570084448274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400835661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99795485,0.00013645508,3.8576113e-7,0.0015424923,0.00004264318,0.00007054497,0.000011533547,0.000020008176,0.00022106571],"genre_scores_gemma":[0.9996926,0.0000235246,0.0000027021229,0.0002540783,0.0000043696223,0.0000014276911,8.2867695e-7,0.000001540601,0.00001890183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923575,0.00006410955,0.0000755616,0.00023938081,0.00021797513,0.00016722607],"domain_scores_gemma":[0.9987413,0.0009988348,0.000024119736,0.0001203386,0.00001373003,0.00010162599],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00016356749,0.000055797806,0.00009320926,0.000080857826,0.0002541678,0.000025554475,0.00017588213,0.000015409307,0.000013406069],"category_scores_gemma":[0.0017535498,0.000027422282,0.000032739477,0.0025282938,0.002812305,0.00006982934,0.00018508159,0.00007707467,0.000004730831],"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":[0.000007879106,0.000006977577,0.71033084,0.0000011893045,0.0000057608086,8.0268404e-7,0.000014975418,0.0000015209187,0.0018999033,0.2869698,0.000002274518,0.00075808435],"study_design_scores_gemma":[0.00004485562,0.000024560262,0.86062545,0.0000022052907,0.00017111447,5.7446968e-8,0.000001916045,0.0014893377,0.0015612968,0.13604304,0.000002751719,0.00003341677],"about_ca_topic_score_codex":0.0000011374467,"about_ca_topic_score_gemma":2.3357501e-7,"teacher_disagreement_score":0.15092675,"about_ca_system_score_codex":0.000001980824,"about_ca_system_score_gemma":0.000012510101,"threshold_uncertainty_score":0.9999015},"labels":[],"label_agreement":null},{"id":"W4401035579","doi":"10.54254/2753-8818/43/20240824","title":"From the standard model to M-theory: The development of string theory","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Black Holes and Theoretical Physics","field":"Physics and Astronomy","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":"Superstring theory; Non-critical string theory; String phenomenology; Relationship between string theory and quantum field theory; Heterotic string theory; Physics; Green–Schwarz mechanism; String field theory; String theory; Theoretical physics; Type I string theory; Quantum gravity; Theory of everything (philosophy); Compactification (mathematics); Supersymmetry; String (physics); String cosmology; Particle physics; Quantum mechanics; Mathematics; Quantum; Pure mathematics; Epistemology","score_opus":0.006666375959264641,"score_gpt":0.2545317734052596,"score_spread":0.24786539744599498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401035579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86424035,0.0002544352,0.12711768,0.001530511,0.0001638777,0.00017637234,0.00004711041,0.00002522325,0.0064444696],"genre_scores_gemma":[0.9984793,0.0000012551927,0.001168529,0.00013813055,0.00014240689,0.000006486963,0.0000018688397,0.000007761159,0.000054239532],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988067,0.00006841139,0.00017656785,0.00027988074,0.00038509548,0.000283311],"domain_scores_gemma":[0.998832,0.00075630174,0.000020300638,0.00022363734,0.000060334318,0.000107453394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016090667,0.00012670213,0.00012912581,0.000019717958,0.00035632733,0.0001530312,0.00052267406,0.000019220017,0.00015187303],"category_scores_gemma":[0.0000428968,0.000054540673,0.00005246601,0.0003855344,0.0025978098,0.000097557626,0.00035348703,0.0002791803,0.000016307755],"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":[0.000053388423,0.000007936931,0.000018265959,0.0000028024551,0.000015584217,1.3094702e-7,0.0020869842,0.000020469868,0.0010705993,0.9199139,0.000018994855,0.07679094],"study_design_scores_gemma":[0.000056206365,0.000017214088,0.00012827628,0.0000543388,0.000021234484,1.7056588e-7,0.0006961164,0.0048557846,0.017534686,0.97629744,0.00024043619,0.00009806954],"about_ca_topic_score_codex":0.0000044969943,"about_ca_topic_score_gemma":3.1298433e-7,"teacher_disagreement_score":0.13423899,"about_ca_system_score_codex":0.000015934917,"about_ca_system_score_gemma":0.00017118611,"threshold_uncertainty_score":0.9571738},"labels":[],"label_agreement":null},{"id":"W4401035603","doi":"10.54254/2753-8818/45/20240422","title":"Explore the impact of free sulfur dioxide on red and white wine","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","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 Toronto","funders":"","keywords":"White Wine; Sulfur dioxide; Wine; White (mutation); Sulfur; Environmental science; Chemistry; Food science; Inorganic chemistry; Organic chemistry; Biochemistry","score_opus":0.019483690700030403,"score_gpt":0.29562620050275323,"score_spread":0.2761425098027228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401035603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833388,0.00050359056,2.911985e-7,0.014620548,0.0000620368,0.00015559536,0.000021294925,0.00004004742,0.001257804],"genre_scores_gemma":[0.99937093,0.00016954068,0.000012539758,0.000072915296,0.00015300917,0.000005585192,0.0000039711454,7.3573517e-7,0.00021074199],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99855155,0.00006349111,0.00015958627,0.0003624868,0.0004661149,0.00039677744],"domain_scores_gemma":[0.9991311,0.00046429745,0.000020936543,0.000081889484,0.00009385923,0.00020794311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059212977,0.00015192897,0.00015821656,0.000018024382,0.00031730108,0.00019313907,0.00043834606,0.00004650731,0.00023268574],"category_scores_gemma":[0.00043553204,0.000031508276,0.00008799895,0.00080121047,0.0026467333,0.000238725,0.00028833465,0.0002726051,0.000008352235],"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":[0.000099828125,0.000023770508,0.0006124749,0.000010629075,0.000011122674,0.000008773075,0.00028066928,9.589038e-7,0.86240005,0.08151909,0.0004824257,0.054550204],"study_design_scores_gemma":[0.00022960574,0.0020406179,0.85079336,0.00025298062,0.000027640479,0.000117949596,0.00082361436,0.0026484309,0.061981283,0.07973495,0.00091880164,0.00043076946],"about_ca_topic_score_codex":0.0000854592,"about_ca_topic_score_gemma":0.000012383659,"teacher_disagreement_score":0.85018086,"about_ca_system_score_codex":0.000024124169,"about_ca_system_score_gemma":0.000017218208,"threshold_uncertainty_score":0.9751999},"labels":[],"label_agreement":null},{"id":"W4401035854","doi":"10.54254/2753-8818/45/20240516","title":"Association between screen usage and two core symptom changes in children with autism during Covid-19: A study in Italy","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Child Development and Digital Technology","field":"Social Sciences","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":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Autism; Coronavirus disease 2019 (COVID-19); Association (psychology); Screen time; Psychology; Core (optical fiber); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Social relation; Developmental psychology; Clinical psychology; Medicine; Social psychology; Psychotherapist; Physical activity; Physical therapy","score_opus":0.01131208470561786,"score_gpt":0.30372555264613293,"score_spread":0.2924134679405151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401035854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928175,0.0002140141,0.0000030356048,0.005198485,0.00003147468,0.00035197742,0.0000049144123,0.00008611229,0.0012924661],"genre_scores_gemma":[0.9996917,0.00004751573,0.000030129102,0.00008292145,0.000028402908,0.0000063571624,0.0000016807351,0.0000032816451,0.0001080018],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998697,0.0000519569,0.00011186732,0.0003691831,0.0004048207,0.00036517435],"domain_scores_gemma":[0.9995095,0.00024214145,0.00002404866,0.00005823387,0.0000129692935,0.00015311543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013878472,0.00009286859,0.00014191825,0.0002586959,0.00030351564,0.00021881338,0.00020223929,0.00006142988,0.000018144845],"category_scores_gemma":[0.00048774946,0.000065870205,0.000008123815,0.00123549,0.001557394,0.00031299543,0.00017599802,0.00022701186,0.0000022124152],"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":[0.000008033102,0.000012108825,0.73169744,0.000002449449,0.0000057402353,0.000008556588,0.002593359,9.151947e-8,0.00002963411,0.26274297,0.000001247847,0.0028983557],"study_design_scores_gemma":[0.00039312762,0.00006438379,0.95228195,0.000031241438,0.0000081577455,0.0000040532973,0.0005964258,0.000037620597,0.000031669697,0.04641052,0.000022127746,0.00011869307],"about_ca_topic_score_codex":0.0008611577,"about_ca_topic_score_gemma":0.004470769,"teacher_disagreement_score":0.22058454,"about_ca_system_score_codex":0.00021918913,"about_ca_system_score_gemma":0.00016309571,"threshold_uncertainty_score":0.57382834},"labels":[],"label_agreement":null},{"id":"W4401035913","doi":"10.54254/2753-8818/45/20240483","title":"Comparing haloperidol with clozapine as treatments for schizophrenia","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Schizophrenia research and treatment","field":"Medicine","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":"Clozapine; Schizophrenia (object-oriented programming); Haloperidol; Psychosis; Psychiatry; Psychology; Antipsychotic; Population; Dopamine receptor D2; Dopamine; Extrapyramidal symptoms; Medicine; Pharmacology; Neuroscience","score_opus":0.013403910404542314,"score_gpt":0.31314437940202233,"score_spread":0.29974046899748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401035913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99240685,0.0027920993,0.000079550104,0.0024796375,0.00009582497,0.00046187427,0.0000045600195,0.00007987689,0.0015997475],"genre_scores_gemma":[0.99472344,0.00012011664,0.004549073,0.00008442388,0.00008446845,0.000038841772,0.000007628637,0.000008789921,0.0003832094],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988324,0.000010078471,0.00008583231,0.00036616894,0.00035426035,0.0003512806],"domain_scores_gemma":[0.9993703,0.000110634726,0.0000074256054,0.00012725615,0.00006344362,0.0003209638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019848114,0.00012536229,0.0001703944,0.00009753299,0.00019771693,0.00012281237,0.000089148874,0.000024104153,0.00008448362],"category_scores_gemma":[0.00008868975,0.00006135074,0.000039321458,0.00037759225,0.0016042249,0.00012394327,0.00005569099,0.00013882123,0.000039680875],"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":[0.009825962,0.00006982091,0.00044896893,0.00004498707,0.00007587786,0.00012068819,0.00005739247,2.2566104e-7,0.005691134,0.91791147,0.000028490018,0.06572499],"study_design_scores_gemma":[0.03987627,0.01959552,0.15111592,0.0026665274,0.0015255944,0.0053026,0.00024107004,0.108307116,0.22609703,0.43906292,0.004760849,0.0014485752],"about_ca_topic_score_codex":0.000013557904,"about_ca_topic_score_gemma":0.0000045597735,"teacher_disagreement_score":0.47884852,"about_ca_system_score_codex":0.0000669147,"about_ca_system_score_gemma":0.00027628118,"threshold_uncertainty_score":0.59108335},"labels":[],"label_agreement":null},{"id":"W4401183901","doi":"10.54254/2753-8818/46/20240618","title":"Applications of machine learning to electronic health record data in liver-related disease","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Machine Learning in Healthcare","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":"Computer science; Machine learning; Repurposing; Data science; Artificial intelligence; Identification (biology); Decision tree; Random forest; Engineering","score_opus":0.007840445843046344,"score_gpt":0.3100025209811421,"score_spread":0.3021620751380958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401183901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43046966,0.06720044,0.33125338,0.1644839,0.0009741387,0.0027075228,0.000062737345,0.0011379651,0.0017102739],"genre_scores_gemma":[0.9957961,0.0002595168,0.0035902346,0.00026373318,0.000015300857,0.000008512175,0.00000686704,0.0000041560907,0.000055609868],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998283,0.0001426366,0.00022409718,0.000618656,0.00031711193,0.00041445182],"domain_scores_gemma":[0.9988737,0.00027860343,0.000033591376,0.0004909821,0.00003724559,0.00028588896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001816253,0.00008688001,0.00012659916,0.00021044357,0.0001595043,0.00009192852,0.0013254504,0.00002106319,0.000022704948],"category_scores_gemma":[0.00041909603,0.00006541375,0.000014477232,0.0020352248,0.00046364302,0.00031119803,0.0009151856,0.000573528,0.000016041171],"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":[0.0000056971344,0.000008519929,0.000736369,0.000046362773,7.1262417e-7,0.0000026035336,0.0002206371,0.000016313683,0.00004446356,0.71992314,0.0000046270293,0.27899054],"study_design_scores_gemma":[0.000050783776,0.0001250203,0.0073420084,0.000101483,0.0000017837721,0.0000090940475,0.0000080044065,0.92325276,0.000014213086,0.0655228,0.0034728812,0.000099192126],"about_ca_topic_score_codex":0.00030131452,"about_ca_topic_score_gemma":0.00004642184,"teacher_disagreement_score":0.9232364,"about_ca_system_score_codex":0.00007610911,"about_ca_system_score_gemma":0.00046155043,"threshold_uncertainty_score":0.2667495},"labels":[],"label_agreement":null},{"id":"W4401919140","doi":"10.54254/2753-8818/50/20240663","title":"An overview of the development and applications of information entropy","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Advanced Decision-Making Techniques","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":"Dalsa Corporation","funders":"","keywords":"Confusion; Entropy (arrow of time); Conditional entropy; Joint entropy; Information theory; Statistical physics; Computer science; Information diagram; Maximum entropy thermodynamics; Mathematics; Joint quantum entropy; Principle of maximum entropy; Artificial intelligence; Physics; Statistics; Thermodynamics; Psychology","score_opus":0.00970247973630329,"score_gpt":0.31343491769860743,"score_spread":0.30373243796230415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401919140","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0920378,0.001364472,0.90545845,0.0004123436,0.00007059263,0.00018752777,0.0000014273897,0.00007115355,0.0003962075],"genre_scores_gemma":[0.908457,0.000044571232,0.0914444,0.000044587287,0.0000033395534,0.0000039549423,1.111425e-7,5.941871e-7,0.0000014786626],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994061,0.000013506019,0.00013737968,0.00011448939,0.00025204502,0.000076490505],"domain_scores_gemma":[0.9995762,0.000104337945,0.000031775013,0.0001931537,0.000060485698,0.000034031218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042420745,0.000039505157,0.000053424865,0.000057868543,0.00008188496,0.00006107769,0.00051135785,0.000014126373,0.0000018653794],"category_scores_gemma":[0.00006542165,0.000020840558,0.000009669307,0.0006041764,0.0009092365,0.00067075697,0.0003046155,0.000058434915,6.8569676e-7],"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":[6.790839e-7,0.0000024250746,0.000010499192,0.000009746909,2.9557987e-7,2.848357e-8,0.00018081829,4.0320407e-7,0.0016185396,0.729909,8.6254784e-7,0.26826668],"study_design_scores_gemma":[0.00002219759,0.00002561206,0.0032514927,0.00008070976,0.0000016529893,0.000007837657,0.000013038872,0.02310721,0.05578902,0.9161315,0.0015193112,0.000050405466],"about_ca_topic_score_codex":7.0517115e-7,"about_ca_topic_score_gemma":1.644437e-7,"teacher_disagreement_score":0.8164192,"about_ca_system_score_codex":0.000010864051,"about_ca_system_score_gemma":0.00006574598,"threshold_uncertainty_score":0.335012},"labels":[],"label_agreement":null},{"id":"W4402419798","doi":"10.54254/2753-8818/51/2024ch0108","title":"Analysis of the market value of Premier League attacker","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","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":"League; Value (mathematics); Business; Economics; Mathematics; Statistics; Physics","score_opus":0.007388450876724653,"score_gpt":0.22771890547346563,"score_spread":0.22033045459674097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402419798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979355,0.0021381252,0.00016434926,0.0004943618,0.00025597928,0.000044618675,0.00003933834,0.000005072339,0.017503172],"genre_scores_gemma":[0.9991468,0.00014627987,0.00004211781,0.00006285559,0.00001630758,6.218762e-7,5.722156e-7,0.0000024099386,0.00058204524],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999309,0.000004887056,0.0002592499,0.00021303995,0.00007573917,0.00013805558],"domain_scores_gemma":[0.9996139,0.00006396943,0.00006800186,0.00018730492,0.000027729373,0.000039087365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009285232,0.000057955018,0.00020231023,0.0001803435,0.00005859056,0.000033457418,0.00025138364,0.000027872029,0.00075598207],"category_scores_gemma":[0.000080988386,0.000034521076,0.00011114019,0.0015520485,0.0015230809,0.0001050561,0.00009883929,0.000097530225,0.000004490262],"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":[0.0000049955474,0.000007118543,0.034464244,0.000015335889,0.000041943822,2.403904e-7,0.00010693169,0.000063015024,0.00011482658,0.9646671,0.000041591775,0.00047264804],"study_design_scores_gemma":[0.00004398974,0.000020069614,0.40316376,0.000028704693,0.000077054334,0.000001112523,0.000013308689,0.5212087,0.00088561454,0.07254755,0.0019196863,0.00009041786],"about_ca_topic_score_codex":0.00003961434,"about_ca_topic_score_gemma":0.000002744726,"teacher_disagreement_score":0.8921196,"about_ca_system_score_codex":0.000015830208,"about_ca_system_score_gemma":0.000021984783,"threshold_uncertainty_score":0.82774734},"labels":[],"label_agreement":null},{"id":"W4402752632","doi":"10.54254/2753-8818/52/2024ch0119","title":"From FFT to sparse FFT: Innovations in efficient signal processing for large sparse data","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Blind Source Separation Techniques","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":"Fast Fourier transform; Computer science; Signal processing; SIGNAL (programming language); Algorithm; Digital signal processing; Computer hardware","score_opus":0.024091796542876527,"score_gpt":0.32683764105189167,"score_spread":0.30274584450901515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402752632","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1306562,0.0002767148,0.86026114,0.0076725464,0.00016048577,0.00034706862,0.000043060307,0.0002152501,0.00036751278],"genre_scores_gemma":[0.9133006,0.0000022989202,0.08578412,0.0008095605,0.000053325228,0.000015360063,0.000010711727,0.0000041736002,0.000019870611],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838203,0.000033665434,0.00021106335,0.0006798215,0.00035168367,0.00034171945],"domain_scores_gemma":[0.99918556,0.00022237893,0.000022938466,0.00035984037,0.00009785732,0.00011142516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018110345,0.00010548945,0.000114989925,0.00024685333,0.00018780153,0.000624643,0.0012287436,0.000041443443,0.000014834015],"category_scores_gemma":[0.00021939978,0.000077156605,0.000014334843,0.0020307705,0.0003931317,0.00067943777,0.000848378,0.00019834848,0.000011407745],"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":[0.000007517669,0.000029314366,0.000010944456,0.0000069278676,8.2096886e-7,0.00000300975,0.0009588779,0.000010008498,0.006219809,0.9686964,0.00015235212,0.023904],"study_design_scores_gemma":[0.000089066496,0.000039976545,0.00039872542,0.00008141849,0.0000025171948,0.0000035618693,0.000033824177,0.866409,0.0028751548,0.1279648,0.0019736618,0.00012832032],"about_ca_topic_score_codex":0.000012253258,"about_ca_topic_score_gemma":0.000008961218,"teacher_disagreement_score":0.866399,"about_ca_system_score_codex":0.0000336041,"about_ca_system_score_gemma":0.00022558986,"threshold_uncertainty_score":0.6023447},"labels":[],"label_agreement":null},{"id":"W4402951961","doi":"10.54254/2753-8818/52/2024ch0136","title":"High school student GPA prediction by various linear regression models","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Online Learning and Analytics","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":"Linear regression; Statistics; Regression analysis; Mathematics","score_opus":0.003991583415884348,"score_gpt":0.27024076809022085,"score_spread":0.2662491846743365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402951961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7023618,0.0044607385,0.25235155,0.034929223,0.0025019697,0.00024995295,0.000021930737,0.0010950372,0.002027746],"genre_scores_gemma":[0.99410856,0.00014138398,0.0048384615,0.00019299927,0.000121074205,0.0000015692966,0.0000023643486,0.00000416685,0.0005894105],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984606,0.000041653057,0.00014328398,0.00049122795,0.00057350605,0.00028976225],"domain_scores_gemma":[0.9993914,0.00009023745,0.00001957478,0.00021614156,0.000062701845,0.00021998868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064475025,0.00011453439,0.000106962514,0.000088303714,0.00026231928,0.00043057464,0.0006162242,0.0000500368,0.000015418085],"category_scores_gemma":[0.000090727204,0.000068380956,0.000030893898,0.00069761346,0.0007411869,0.0006577171,0.00036609767,0.0003998949,0.000024338155],"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":[0.0000028484958,0.00002259039,0.00003946447,0.000007094102,0.0000031457619,0.000008315902,0.00011638739,0.00017465296,0.0023471427,0.9831,0.000381421,0.013796938],"study_design_scores_gemma":[0.00007104111,0.00009021022,0.00028805592,0.000071182025,0.000006418726,0.000018920075,0.000009257529,0.79241365,0.0006818602,0.20590153,0.0003552363,0.000092636],"about_ca_topic_score_codex":0.0000093695535,"about_ca_topic_score_gemma":1.551042e-7,"teacher_disagreement_score":0.792239,"about_ca_system_score_codex":0.00004021632,"about_ca_system_score_gemma":0.000096388205,"threshold_uncertainty_score":0.4152041},"labels":[],"label_agreement":null},{"id":"W4402951965","doi":"10.54254/2753-8818/42/20240663","title":"An overview of the development and applications of information entropy","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Neural Networks and Applications","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":"Dalsa Corporation","funders":"","keywords":"Computer science; Data science","score_opus":0.008311037155415224,"score_gpt":0.2693062714784326,"score_spread":0.2609952343230174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402951965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75138754,0.004960397,0.23668857,0.0043258816,0.0002262947,0.00067104504,0.0000066287976,0.0000968577,0.0016367843],"genre_scores_gemma":[0.99456704,0.000065645734,0.0052748346,0.00007233325,0.000007845599,0.000007475527,2.9901702e-7,5.325938e-7,0.000004009372],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99953693,0.000010141816,0.00011656348,0.00010169957,0.00015809578,0.00007654377],"domain_scores_gemma":[0.9997014,0.000049370974,0.000024274295,0.00014501365,0.000038295973,0.000041688334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023107106,0.000035726403,0.00004445312,0.000029159704,0.000108063985,0.000070252754,0.0003755806,0.000010956693,0.0000027190208],"category_scores_gemma":[0.000007946077,0.00001879849,0.000009904478,0.0005951617,0.0007646902,0.00041592133,0.0001647465,0.000052610794,9.901376e-7],"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":[3.6543003e-7,0.0000034042484,0.000018223387,0.000012785305,4.409349e-7,1.00153414e-8,0.00013661683,0.0000012797672,0.0019418411,0.8179553,0.0000022139252,0.1799275],"study_design_scores_gemma":[0.00009512174,0.000055267337,0.023124326,0.00011984338,0.0000093098715,0.000017377393,0.0000428914,0.2365816,0.056717332,0.67289615,0.010178727,0.00016208434],"about_ca_topic_score_codex":0.0000015241096,"about_ca_topic_score_gemma":3.814479e-7,"teacher_disagreement_score":0.24317949,"about_ca_system_score_codex":0.0000049418386,"about_ca_system_score_gemma":0.00005142177,"threshold_uncertainty_score":0.2817533},"labels":[],"label_agreement":null},{"id":"W4403377836","doi":"10.54254/2753-8818/41/2024ch0108","title":"Analysis of the market value of Premier League attacker","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","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":"League; Value (mathematics); Business; Market value; Economics; Finance; Mathematics; Statistics; Physics","score_opus":0.007388450876724653,"score_gpt":0.22771890547346563,"score_spread":0.22033045459674097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403377836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979355,0.0021381252,0.00016434926,0.0004943618,0.00025597928,0.000044618675,0.00003933834,0.000005072339,0.017503172],"genre_scores_gemma":[0.9991468,0.00014627987,0.00004211781,0.00006285559,0.00001630758,6.218762e-7,5.722156e-7,0.0000024099386,0.00058204524],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999309,0.000004887056,0.0002592499,0.00021303995,0.00007573917,0.00013805558],"domain_scores_gemma":[0.9996139,0.00006396943,0.00006800186,0.00018730492,0.000027729373,0.000039087365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009285232,0.000057955018,0.00020231023,0.0001803435,0.00005859056,0.000033457418,0.00025138364,0.000027872029,0.00075598207],"category_scores_gemma":[0.000080988386,0.000034521076,0.00011114019,0.0015520485,0.0015230809,0.0001050561,0.00009883929,0.000097530225,0.000004490262],"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":[0.0000049955474,0.000007118543,0.034464244,0.000015335889,0.000041943822,2.403904e-7,0.00010693169,0.000063015024,0.00011482658,0.9646671,0.000041591775,0.00047264804],"study_design_scores_gemma":[0.00004398974,0.000020069614,0.40316376,0.000028704693,0.000077054334,0.000001112523,0.000013308689,0.5212087,0.00088561454,0.07254755,0.0019196863,0.00009041786],"about_ca_topic_score_codex":0.00003961434,"about_ca_topic_score_gemma":0.000002744726,"teacher_disagreement_score":0.8921196,"about_ca_system_score_codex":0.000015830208,"about_ca_system_score_gemma":0.000021984783,"threshold_uncertainty_score":0.82774734},"labels":[],"label_agreement":null},{"id":"W4403378699","doi":"10.54254/2753-8818/54/2024au0118","title":"Gibberellic Acid and Abscisic Acid Effects on Germination Across Arabidopsis Genotypes: Confirmation of Compound Identity and Genotypic Responses","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","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; St. Michael's Hospital","funders":"","keywords":"Abscisic acid; Gibberellic acid; Germination; Genotype; Arabidopsis; Biology; Botany; Identity (music); Gene; Biochemistry; Physics","score_opus":0.006978918942000863,"score_gpt":0.29061752730138496,"score_spread":0.2836386083593841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403378699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932613,0.005953998,0.00015627535,0.00023652293,0.00014964095,0.00012133879,0.000017317449,0.000009009749,0.000094595816],"genre_scores_gemma":[0.9993764,0.00031715192,0.00012878486,0.00007469687,0.00005727928,0.000002906789,0.000009384653,0.0000033112526,0.00003005315],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99914616,0.00007312128,0.000102571656,0.0003891536,0.00012691712,0.00016205045],"domain_scores_gemma":[0.9996406,0.00010240768,0.000028685312,0.000115120616,0.00005638942,0.0000568021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006257222,0.00009288824,0.00010684508,0.0000476108,0.000119957476,0.00006049012,0.00009737419,0.00007262338,0.0000030385083],"category_scores_gemma":[0.00036941262,0.00006591367,0.000015752454,0.00014134281,0.002012144,0.000023675944,0.00012661947,0.00008767919,0.000002600975],"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":[0.00017173614,0.0000068846048,0.0002671475,0.000051056722,0.0000069076973,0.0000025580096,0.00009806261,1.0392463e-7,0.9152217,0.06995553,0.000004861375,0.01421346],"study_design_scores_gemma":[0.00013309583,0.00030769952,0.07580896,0.000035328387,0.000012157996,0.00008960777,0.000019901236,0.00022664056,0.9105132,0.012562783,0.00018503137,0.00010556945],"about_ca_topic_score_codex":0.000004333049,"about_ca_topic_score_gemma":0.0000042184997,"teacher_disagreement_score":0.07554181,"about_ca_system_score_codex":0.000009384344,"about_ca_system_score_gemma":0.000029678284,"threshold_uncertainty_score":0.7413829},"labels":[],"label_agreement":null},{"id":"W4403378886","doi":"10.54254/2753-8818/50/2024au0128","title":"Mechanisms and Clinical Applications of Virus-Based Cancer Vaccines","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","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":"Virology; Cancer; Medicine; Virus; Internal medicine","score_opus":0.0069642171549152716,"score_gpt":0.31071316843107005,"score_spread":0.30374895127615475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403378886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92766476,0.06711904,0.0024471772,0.0015421364,0.000640282,0.00023202809,0.00002463939,0.00006518318,0.00026478153],"genre_scores_gemma":[0.99806,0.0013495623,0.00016751465,0.00017154594,0.000010046612,0.000012278233,0.0000018601575,0.000003676347,0.00022350196],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99932605,0.00007308449,0.00017234928,0.0002256695,0.000036108446,0.00016674967],"domain_scores_gemma":[0.99937254,0.00043610143,0.000022921853,0.00010654439,0.000042217256,0.000019689513],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00058885646,0.000077112876,0.0001378616,0.00007441579,0.00015379734,0.000023520588,0.00015197837,0.000075135016,0.00031184795],"category_scores_gemma":[0.00006995902,0.000047715,0.000037420526,0.00026541328,0.0030086732,0.00007361523,0.000062242696,0.00018411638,0.000013323006],"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":[0.0001429739,0.000018206714,0.00004557982,0.000011124299,0.000014024754,2.9764638e-7,0.000026828964,6.352451e-8,0.4735845,0.45312518,0.000011905354,0.07301933],"study_design_scores_gemma":[0.0009713187,0.00059391395,0.020172812,0.00017876735,0.000099632685,0.000054696433,0.00008938913,0.000943071,0.862109,0.09878881,0.015682086,0.00031651152],"about_ca_topic_score_codex":0.000027354326,"about_ca_topic_score_gemma":0.000002228888,"teacher_disagreement_score":0.3885245,"about_ca_system_score_codex":0.0000065317618,"about_ca_system_score_gemma":0.00011437522,"threshold_uncertainty_score":0.99970454},"labels":[],"label_agreement":null},{"id":"W4404019645","doi":"10.54254/2753-8818/53/20240185","title":"Impact of Pore Diameter on Heat Conduction Efficiency in Porous Media Based on Ansys","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Heat and Mass Transfer in Porous Media","field":"Engineering","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":"Oakville-Trafalgar Memorial Hospital","funders":"","keywords":"Porous medium; Thermal conduction; Materials science; Porosity; Composite material","score_opus":0.006003465566091824,"score_gpt":0.2502880188995184,"score_spread":0.24428455333342658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404019645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99534935,0.00026744025,0.00028235873,0.00014104001,0.000635255,0.00009019641,0.000009983156,0.00007772627,0.0031466808],"genre_scores_gemma":[0.9998163,0.000031557654,0.00006496629,0.0000320483,0.000039432776,0.0000026517241,0.0000030465324,0.000007439922,0.0000025358004],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991051,0.00001860602,0.00013248884,0.00019827866,0.0002820548,0.00026349706],"domain_scores_gemma":[0.99950796,0.00026443106,0.0000023602256,0.00009955877,0.000015792226,0.00010986465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039164996,0.000110886605,0.00013032067,0.0001947487,0.000026242142,0.0000272439,0.00011156563,0.000050916235,0.000069338486],"category_scores_gemma":[0.000094079456,0.000067492976,0.000040061044,0.00054021605,0.0008262037,0.000093027775,0.000007872716,0.00024301159,0.0000054605825],"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":[0.00027879517,0.00023656324,0.0012376872,0.00030693694,0.000018194729,0.00016861963,0.0027782223,0.009164463,0.3129817,0.53750503,0.00016338805,0.13516037],"study_design_scores_gemma":[0.0007753253,0.0013870703,0.052188136,0.00064037414,0.000024325196,0.00003813487,0.00006416671,0.8243397,0.09734405,0.022609832,0.000041419622,0.00054745947],"about_ca_topic_score_codex":0.000012800739,"about_ca_topic_score_gemma":0.0000023109521,"teacher_disagreement_score":0.81517524,"about_ca_system_score_codex":0.00006503388,"about_ca_system_score_gemma":0.000049905168,"threshold_uncertainty_score":0.3044182},"labels":[],"label_agreement":null},{"id":"W4404019734","doi":"10.54254/2753-8818/53/20240214","title":"Modelling and Analysis of the Pisa Tower Based on ANSYS","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","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":"St. Stephen's University","funders":"","keywords":"Tower; Structural engineering; Engineering; Architectural engineering","score_opus":0.0034958195065302143,"score_gpt":0.2061201173413928,"score_spread":0.20262429783486258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404019734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9029803,0.0006021672,0.094411105,0.00030283368,0.00018228893,0.00003360609,0.000006233342,0.0000863018,0.0013951508],"genre_scores_gemma":[0.9996345,0.0000184311,0.0002888713,0.000032917873,0.0000074219624,4.9740004e-7,5.303357e-7,0.000002451376,0.000014375208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956465,0.0000058255373,0.00007027354,0.0001142359,0.0001535998,0.000091430324],"domain_scores_gemma":[0.99977684,0.000080366844,0.0000038369158,0.00008482519,0.000013139692,0.000041016876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013314589,0.00005752547,0.0000849105,0.00014014031,0.000048593934,0.000043867905,0.00008181736,0.00001814496,0.000045882975],"category_scores_gemma":[0.000017858105,0.000030252711,0.00004380087,0.0012200637,0.0005243286,0.00005163355,0.000015421088,0.00009095271,3.4039581e-7],"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":[0.0000020395505,7.8465166e-7,0.000025241958,0.000011078155,0.000025648122,2.6870362e-7,0.000057007444,0.80259633,0.0026201708,0.19103657,0.0000028750198,0.0036219715],"study_design_scores_gemma":[0.00001771435,0.0000057973125,0.0008891702,0.000016614042,0.00008617113,4.886443e-7,0.000007451918,0.9936888,0.0033738855,0.0018479722,0.000018524184,0.000047395093],"about_ca_topic_score_codex":0.0000035127623,"about_ca_topic_score_gemma":3.3646324e-7,"teacher_disagreement_score":0.19109248,"about_ca_system_score_codex":0.0000101817795,"about_ca_system_score_gemma":0.0000067191395,"threshold_uncertainty_score":0.19319107},"labels":[],"label_agreement":null},{"id":"W4404047938","doi":"10.54254/2753-8818/51/2024ch0196","title":"Forecast of consumption of natural gas in U.S. based on time series analysis and ARIMA model","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Energy Load and Power Forecasting","field":"Engineering","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":"Autoregressive integrated moving average; Series (stratigraphy); Time series; Box–Jenkins; Gas consumption; Econometrics; Consumption (sociology); Natural gas; Statistics; Environmental science; Mathematics; Economics; Engineering; Geology; Philosophy; Environmental economics","score_opus":0.004145763291062661,"score_gpt":0.21133851060015313,"score_spread":0.20719274730909046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404047938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976561,0.00066410075,0.00054195983,0.000050156537,0.00005575661,0.000026472611,0.000007917187,0.000027024033,0.0009705295],"genre_scores_gemma":[0.9989938,0.000044357483,0.0009273359,0.000008745836,0.0000056820886,7.2034067e-7,0.000002469914,0.0000032791972,0.000013580586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945974,0.000009135221,0.00012224358,0.00013302485,0.00014211639,0.00013376276],"domain_scores_gemma":[0.99976796,0.00010746681,0.000009968573,0.00005801393,0.000017569284,0.000039003447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025025505,0.00007306748,0.0001376686,0.00022330713,0.00002411544,0.000021626023,0.000065174616,0.00002838887,0.00001887557],"category_scores_gemma":[0.00003701728,0.000051002782,0.000028444221,0.0005884141,0.00092424627,0.00013325954,0.000024225776,0.00011737526,5.602395e-7],"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":[0.00013409375,0.000018836,0.0027536268,0.0003015783,0.000039570325,0.0000071465943,0.0005007424,0.07530738,0.13894194,0.75263995,0.000004811259,0.029350335],"study_design_scores_gemma":[0.00005851313,0.000028823762,0.0025534106,0.00008796875,0.000023405988,0.000002348901,0.000003176367,0.9630611,0.027876494,0.006240618,0.0000015855375,0.000062575586],"about_ca_topic_score_codex":0.0000044043195,"about_ca_topic_score_gemma":0.0000057113048,"teacher_disagreement_score":0.8877537,"about_ca_system_score_codex":0.000011943267,"about_ca_system_score_gemma":0.000013146244,"threshold_uncertainty_score":0.34054238},"labels":[],"label_agreement":null},{"id":"W4404048027","doi":"10.54254/2753-8818/56/20240141","title":"Encryption with Complex Variable and its Capabilities","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Chaos-based Image/Signal Encryption","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":"Doug Bragg Enterprises (Canada)","funders":"","keywords":"Encryption; Variable (mathematics); Computer science; Computer security; Mathematics","score_opus":0.006121908085746187,"score_gpt":0.2297731863734591,"score_spread":0.2236512782877129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404048027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82285166,0.0023546861,0.16197923,0.005082503,0.00044543328,0.00032336896,0.0000063573334,0.00048616916,0.0064705806],"genre_scores_gemma":[0.98779833,0.000028301356,0.011842419,0.00020996411,0.000037333182,0.0000044153676,7.8199537e-7,0.000003431576,0.000075033],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873424,0.000038241426,0.00010078784,0.00047041904,0.00036969112,0.00028664962],"domain_scores_gemma":[0.9993895,0.00022714051,0.000013783755,0.00014295889,0.00008484853,0.0001417103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006638333,0.000112181435,0.00009846648,0.000098753735,0.00022638225,0.00049079675,0.00032168775,0.000026920941,0.000058228936],"category_scores_gemma":[0.00009286111,0.0000696331,0.0000120916175,0.00074974255,0.0017457962,0.0011009026,0.00021110033,0.00016848081,0.000015412226],"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":[0.0000095499045,0.000005610014,0.00000785777,0.000027117183,0.0000014403416,0.000005122121,0.00020986029,0.000003841988,0.060969595,0.93290424,0.000012264706,0.005843478],"study_design_scores_gemma":[0.0001536716,0.00022966563,0.0017926533,0.000095714284,0.0000083069335,0.00018708219,0.000036644244,0.5999772,0.00923096,0.3876483,0.00041777283,0.00022199772],"about_ca_topic_score_codex":0.000011967721,"about_ca_topic_score_gemma":8.828403e-7,"teacher_disagreement_score":0.5999734,"about_ca_system_score_codex":0.000038725226,"about_ca_system_score_gemma":0.00010895792,"threshold_uncertainty_score":0.6432459},"labels":[],"label_agreement":null},{"id":"W4404048327","doi":"10.54254/2753-8818/51/2024ch0191","title":"Forecasting urban unemployment rate in China using ARIMA model","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","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":"Autoregressive integrated moving average; Econometrics; Unemployment rate; China; Unemployment; Statistics; Economics; Mathematics; Time series; Geography; Macroeconomics","score_opus":0.027869809217966203,"score_gpt":0.23629798200764027,"score_spread":0.20842817278967407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404048327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98687917,0.0017502385,0.003938775,0.0012049797,0.0001511012,0.000059688744,0.000008606534,0.000016878714,0.0059905737],"genre_scores_gemma":[0.9989622,0.00007393546,0.00059368357,0.00013161091,0.000044611774,0.0000020592684,0.0000010723093,0.0000057245466,0.00018507977],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989905,0.0000074603045,0.00028227485,0.00040628115,0.0000367598,0.00027674105],"domain_scores_gemma":[0.99972826,0.00004788016,0.000039491344,0.000089589055,0.000008740594,0.000086064385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091880624,0.00009622695,0.00019931086,0.00021728869,0.000118892174,0.00015235164,0.00016721433,0.00003348193,0.000069188776],"category_scores_gemma":[0.00007433241,0.0000785814,0.00005408537,0.00046924854,0.0007642412,0.000294743,0.000098556346,0.00015215276,0.000020629954],"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":[0.000006279263,0.0000072648586,0.0017770611,0.0000074984773,0.000004288357,0.0000042148,0.0001570493,0.001859336,0.00011245247,0.9947533,0.0000070201095,0.0013042209],"study_design_scores_gemma":[0.000043873395,0.000008379891,0.001006832,0.000015571317,0.0000020575599,0.0000028953382,0.0000058795445,0.62245643,0.000039688708,0.3762874,0.000052262498,0.000078748664],"about_ca_topic_score_codex":0.00014504975,"about_ca_topic_score_gemma":0.00000660343,"teacher_disagreement_score":0.62059706,"about_ca_system_score_codex":0.00010123684,"about_ca_system_score_gemma":0.000039315983,"threshold_uncertainty_score":0.32044563},"labels":[],"label_agreement":null},{"id":"W4404048553","doi":"10.54254/2753-8818/42/2024ch0222","title":"Analysing Food Safety Compliance in Toronto: Identifying Current Hazards and Challenge","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","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":"Compliance (psychology); Food safety; Environmental health; Business; Current (fluid); Medicine; Risk analysis (engineering); Engineering; Psychology; Pathology","score_opus":0.024726169465896657,"score_gpt":0.30260027586603566,"score_spread":0.277874106400139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404048553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.954165,0.039455272,0.000019496978,0.0033079237,0.0003250492,0.00010423056,0.000012905608,0.00005635116,0.0025538004],"genre_scores_gemma":[0.9975278,0.0022516411,0.00006563621,0.00005147562,0.000087363194,0.0000022834445,0.0000029629075,5.838227e-7,0.000010303342],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99871314,0.000048034326,0.00017330833,0.0004486038,0.00027045995,0.00034643084],"domain_scores_gemma":[0.9996111,0.00016694414,0.000017237324,0.000041790423,0.000029357434,0.00013360001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077914295,0.00011845068,0.00015158467,0.000016767552,0.00029832814,0.00020799176,0.00021305634,0.000033639935,0.00015129898],"category_scores_gemma":[0.000055007185,0.000044891927,0.000036078327,0.0005215407,0.0011540303,0.00042766263,0.00020000423,0.0002039412,0.000004891544],"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":[0.000022509283,0.000014833508,0.00006205886,0.000021390071,0.000002231125,0.0000035323626,0.00012072378,1.7846577e-7,0.010340948,0.38762912,0.0000018383271,0.60178065],"study_design_scores_gemma":[0.00073274056,0.0018760536,0.56041986,0.0021197475,0.00007559989,0.0001264556,0.0024051422,0.09152593,0.0038569802,0.3215586,0.013650889,0.0016519938],"about_ca_topic_score_codex":0.00010744296,"about_ca_topic_score_gemma":0.0010584285,"teacher_disagreement_score":0.60012865,"about_ca_system_score_codex":0.00006815231,"about_ca_system_score_gemma":0.000016010355,"threshold_uncertainty_score":0.42520726},"labels":[],"label_agreement":null},{"id":"W4404048592","doi":"10.54254/2753-8818/51/2024ch0174","title":"Factors influencing housing prices: A comparative study using multiple linear regression and random forest","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","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":"Random forest; Linear regression; Econometrics; Statistics; Regression; Mathematics; Environmental science; Economics; Geography; Computer science; Artificial intelligence","score_opus":0.044337710903264264,"score_gpt":0.28483872584323555,"score_spread":0.24050101493997128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404048592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962742,0.0010805845,0.0005965703,0.000044705936,0.00033464644,0.00021295725,0.0000062031777,0.000046851354,0.0014032834],"genre_scores_gemma":[0.99933565,0.00006547646,0.00050104555,0.000022775768,0.000055644083,0.0000017582275,8.3649746e-7,0.000008877142,0.000007921543],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886507,0.00001704913,0.00029406694,0.0004773199,0.000052999098,0.000293506],"domain_scores_gemma":[0.9993837,0.0002855441,0.00007114456,0.00011435828,0.000020812553,0.00012443637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094605726,0.00015455256,0.00032027546,0.00019272952,0.00039449954,0.00034650211,0.0001432932,0.000045801917,0.000020778461],"category_scores_gemma":[0.00018480749,0.000110005494,0.000035921104,0.00037037893,0.0010349674,0.00054122467,0.00017438378,0.00020273092,0.0000069103075],"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":[0.00025068532,0.00011567827,0.46843293,0.000102323735,0.000049492734,0.00001647684,0.020649683,0.00023052594,0.0011511177,0.50317633,0.000005706286,0.005819053],"study_design_scores_gemma":[0.00086527184,0.00013804759,0.04974588,0.0001475249,0.000018799068,0.000008332817,0.0023097706,0.897088,0.00028147543,0.048816357,0.0001718186,0.00040874744],"about_ca_topic_score_codex":0.00010062935,"about_ca_topic_score_gemma":0.000024691486,"teacher_disagreement_score":0.89685744,"about_ca_system_score_codex":0.00007120533,"about_ca_system_score_gemma":0.000031315423,"threshold_uncertainty_score":0.44858938},"labels":[],"label_agreement":null},{"id":"W4404366523","doi":"10.54254/2753-8818/48/20240203","title":"Sustainable architectural practices: Integrating green design, smart technologies, and ultra-low energy concepts","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Architecture and Computational Design","field":"Engineering","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":"Toronto Metropolitan University","funders":"","keywords":"Architectural engineering; Sustainable design; Sustainable energy; Systems engineering; Architectural design; Efficient energy use; Computer science; Engineering; Sustainability; Renewable energy; Architecture; Electrical engineering; Geography","score_opus":0.005232547038929344,"score_gpt":0.23887361587195374,"score_spread":0.2336410688330244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404366523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5446565,0.026200809,0.40975752,0.0046591493,0.00057908974,0.0005338036,0.0000067063716,0.0027245209,0.010881901],"genre_scores_gemma":[0.99584585,0.00007236862,0.0038236745,0.00007249995,0.000034641682,0.000008984417,0.0000011074909,0.000008396574,0.00013246598],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99904406,0.000035026726,0.00011007278,0.0002710902,0.00019680196,0.00034292572],"domain_scores_gemma":[0.99915254,0.0006389692,0.000016609481,0.00007815838,0.00003987018,0.00007385635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037045372,0.00013632132,0.00010662682,0.00012061444,0.00019225891,0.00019252175,0.00019458093,0.000049346017,0.000009205809],"category_scores_gemma":[0.00030501094,0.00008743617,0.000018181048,0.00051211094,0.0016322539,0.00025400578,0.000076747325,0.0003015551,0.0000018632024],"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":[0.0000130391045,0.0000022378783,0.0000055094824,0.000056241806,0.000007277535,0.000031223244,0.000384076,0.00022772023,0.014049303,0.7958012,0.000026235162,0.18939593],"study_design_scores_gemma":[0.000088067056,0.00012344302,0.0001417873,0.000101370526,0.000014583601,0.0002950754,0.0007277445,0.39221883,0.025037587,0.58013695,0.0008477682,0.00026681123],"about_ca_topic_score_codex":0.00004002368,"about_ca_topic_score_gemma":0.000003682385,"teacher_disagreement_score":0.45118937,"about_ca_system_score_codex":0.000030327528,"about_ca_system_score_gemma":0.00005611607,"threshold_uncertainty_score":0.60141075},"labels":[],"label_agreement":null},{"id":"W4404366555","doi":"10.54254/2753-8818/47/20240188","title":"The association between caffeine intake and BMI","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Coffee research and impacts","field":"Medicine","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":"Caffeine; Association (psychology); Body mass index; Medicine; Psychology; Internal medicine; Psychotherapist","score_opus":0.008367176537966054,"score_gpt":0.3179906670212703,"score_spread":0.3096234904833043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404366555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9702991,0.003067976,0.000010420556,0.02318727,0.00008407783,0.00009579155,0.000002152496,0.00002617101,0.0032270146],"genre_scores_gemma":[0.99871624,0.00041617313,0.000023548933,0.00010972485,0.00012610851,9.620319e-7,8.042489e-7,0.0000020508428,0.0006044054],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99916804,0.000021610736,0.000058748526,0.00013428368,0.0003587926,0.00025850395],"domain_scores_gemma":[0.99909353,0.0005838738,0.0000066024263,0.00005901503,0.00004489986,0.00021210252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010988278,0.000044962213,0.00006888158,0.000036725967,0.00020431032,0.00016969081,0.000058909718,0.000024181136,0.000020664711],"category_scores_gemma":[0.0013893935,0.000020217145,0.000013990311,0.000310182,0.0012007264,0.000094934534,0.00007819138,0.00022229544,0.0000105096005],"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":[0.00006175824,0.0000061114542,0.0090023205,0.000034852106,0.000019718274,0.000012049882,0.00013618948,5.75562e-9,0.015408267,0.6514343,0.00055610767,0.3233283],"study_design_scores_gemma":[0.000480276,0.00066484895,0.8443179,0.00019822907,0.0000761491,0.00008785695,0.00008585746,0.004080461,0.010360331,0.1215077,0.017985215,0.00015515577],"about_ca_topic_score_codex":0.00000746511,"about_ca_topic_score_gemma":0.0000017889947,"teacher_disagreement_score":0.8353156,"about_ca_system_score_codex":0.000053375203,"about_ca_system_score_gemma":0.00009329732,"threshold_uncertainty_score":0.4424126},"labels":[],"label_agreement":null},{"id":"W4404509302","doi":"10.54254/2753-8818/58/20241351","title":"Current trends and ethical considerations in gene therapy","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","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":"Simon Fraser University","funders":"","keywords":"Current (fluid); Engineering ethics; Genetic enhancement; Psychology; Computational biology; Gene; Biology; Genetics; Engineering","score_opus":0.006673560900842339,"score_gpt":0.3357007997233134,"score_spread":0.3290272388224711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404509302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9725201,0.024643289,0.0004166191,0.001957391,0.00016333823,0.00003175983,0.000002336528,0.000009299505,0.00025586996],"genre_scores_gemma":[0.9981619,0.0013734294,0.00024928982,0.00013916119,0.000056210163,0.000002588227,0.0000021145484,0.0000026525097,0.000012632671],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99949694,0.000013595537,0.00006478164,0.00021596973,0.00007691799,0.00013180927],"domain_scores_gemma":[0.9998353,0.000028207054,0.0000028852699,0.000058701164,0.000012984866,0.000061918116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024023296,0.000057849273,0.000047472473,0.000051691044,0.00005125958,0.00005569233,0.000041386127,0.000049384435,0.000018713816],"category_scores_gemma":[0.00006197623,0.00004008476,0.000012578785,0.00014504166,0.000765865,0.000002398095,0.00005488647,0.00017015147,6.5354914e-7],"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":[0.000009710077,0.0000065233194,0.00017998213,0.000006148592,0.000002196531,0.000003427913,0.00009046665,0.0000056767585,0.56186295,0.3524973,0.000049203045,0.08528641],"study_design_scores_gemma":[0.000764509,0.0004004285,0.069913454,0.00008634162,0.000012778659,0.0002703007,0.000038217593,0.01990919,0.8042439,0.09524685,0.008547635,0.0005663655],"about_ca_topic_score_codex":0.0000014682298,"about_ca_topic_score_gemma":0.000002278221,"teacher_disagreement_score":0.25725046,"about_ca_system_score_codex":0.0000032060216,"about_ca_system_score_gemma":0.000030312314,"threshold_uncertainty_score":0.28218615},"labels":[],"label_agreement":null},{"id":"W4404509672","doi":"10.54254/2753-8818/49/20241264","title":"Mathematical statistical methods for stroke prognosis prediction and their clinical application research","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Medical Imaging and Analysis","field":"Engineering","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","funders":"","keywords":"Stroke (engine); Computer science; Medicine; Artificial intelligence; Engineering","score_opus":0.03147360091613035,"score_gpt":0.4422316472177109,"score_spread":0.4107580463015806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404509672","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08341724,0.0011409513,0.91275626,0.0010745467,0.00018503217,0.00024159075,0.000027074386,0.00017747936,0.0009798144],"genre_scores_gemma":[0.9652379,0.0001323692,0.03438541,0.00002012063,0.00014146275,0.000044981207,0.000003916953,0.0000075903336,0.000026238738],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881583,0.00010634413,0.00021741247,0.00032256768,0.00021936696,0.00031847897],"domain_scores_gemma":[0.9969497,0.00263468,0.000005480171,0.0000969975,0.00006454573,0.0002486319],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005446741,0.00008557049,0.00015710144,0.00009969373,0.00017377912,0.00014494837,0.00012423565,0.000059987375,0.000023131663],"category_scores_gemma":[0.0011531921,0.000050305032,0.000033933484,0.00037742496,0.0033983632,0.00010375138,0.00006614343,0.00037689816,0.000005971356],"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":[0.0000035033408,0.000009929889,0.00009449309,0.00008676127,0.000009874506,3.0446452e-7,0.00007939843,7.865573e-7,0.004223431,0.51434624,0.00006300276,0.48108226],"study_design_scores_gemma":[0.00005232368,0.000039091163,0.0005250675,0.000036623678,0.000019085652,0.0000072949956,0.000049177615,0.77515006,0.0016513416,0.22152409,0.0008907617,0.000055077588],"about_ca_topic_score_codex":0.0000015521014,"about_ca_topic_score_gemma":1.5618724e-7,"teacher_disagreement_score":0.8818207,"about_ca_system_score_codex":0.000027878992,"about_ca_system_score_gemma":0.000040584342,"threshold_uncertainty_score":0.99931383},"labels":[],"label_agreement":null},{"id":"W4404510019","doi":"10.54254/2753-8818/40/20241202","title":"Comparative analysis of machine learning in diagnosing Parkinson's: Utilizing vocal characteristics","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Voice and Speech Disorders","field":"Medicine","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":"Hillsborough Hospital","funders":"","keywords":"Computer science; Speech recognition; Natural language processing; Artificial intelligence; Psychology","score_opus":0.012699798889304665,"score_gpt":0.31381028473963035,"score_spread":0.3011104858503257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404510019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954174,0.0021489148,0.00008931681,0.00070909713,0.00005395869,0.00006243515,0.000003234718,0.000024149222,0.0014914888],"genre_scores_gemma":[0.99949974,0.00023576275,0.00013450733,0.00008520813,0.000014095037,0.0000012028413,0.0000066812395,0.0000021629348,0.000020612166],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99916655,0.000030879954,0.00015753128,0.00021915158,0.00023589266,0.00018997006],"domain_scores_gemma":[0.99953014,0.0002739882,0.000019649273,0.000060325307,0.000036425245,0.00007945636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047892978,0.00007528994,0.00028907278,0.00031349444,0.00006122071,0.000035103338,0.00006553178,0.000029035453,0.00006751521],"category_scores_gemma":[0.00026617458,0.000049684666,0.00005093319,0.0016797311,0.0013440376,0.000095523814,0.000050218077,0.00029717595,0.000002281705],"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":[0.0002817421,0.0001496211,0.3429717,0.00016839863,0.00019702376,0.000105593244,0.004647407,0.000019399291,0.059103616,0.5201655,0.0000067828414,0.07218318],"study_design_scores_gemma":[0.0002141557,0.00015820503,0.49728802,0.00024306908,0.00034949894,0.000012769306,0.0005684531,0.49487904,0.004040586,0.0016449098,0.00047796214,0.00012332169],"about_ca_topic_score_codex":0.000026038526,"about_ca_topic_score_gemma":0.000014928343,"teacher_disagreement_score":0.5185206,"about_ca_system_score_codex":0.000022841818,"about_ca_system_score_gemma":0.00005203445,"threshold_uncertainty_score":0.49521625},"labels":[],"label_agreement":null},{"id":"W4404618956","doi":"10.54254/2753-8818/62/20241526","title":"Neurotechnology in ADHD Diagnosis: A Research on Innovations and Applications","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Attention Deficit Hyperactivity Disorder","field":"Medicine","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":"Queen's University","funders":"","keywords":"Neuroimaging; Attention deficit hyperactivity disorder; Impulsivity; Electroencephalography; Psychology; Brain function; Neuroscience; Attention deficit; Functional magnetic resonance imaging; Set (abstract data type); Functional neuroimaging; Psychiatry; Computer science","score_opus":0.05389679162124185,"score_gpt":0.4253816000910899,"score_spread":0.37148480846984805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404618956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96571946,0.00082844397,0.00011203511,0.03169432,0.000034727065,0.00026756737,0.0000013397914,0.00004646775,0.0012956286],"genre_scores_gemma":[0.99933845,0.00014770994,0.0000970611,0.0002268498,0.000025817617,0.00009931051,7.474429e-7,0.0000033075255,0.00006074496],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992287,0.000025426029,0.00007643829,0.00027336832,0.00021933788,0.00017668975],"domain_scores_gemma":[0.99949527,0.00027750584,0.0000045687643,0.00010646318,0.000065716806,0.000050502087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053476065,0.000044806286,0.00006935628,0.00041455022,0.000120118944,0.00004458101,0.00006407015,0.00004194628,0.00002875094],"category_scores_gemma":[0.00043219145,0.000031096206,0.0000074982718,0.0021622821,0.0025377676,0.000084905696,0.00008588362,0.0005137417,0.000020120488],"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":[0.000011926479,0.000043098356,0.0012375703,0.000014703594,9.743402e-7,0.000008109944,0.000041173967,1.8046948e-7,0.003152759,0.9524853,0.000027298378,0.0429769],"study_design_scores_gemma":[0.0008096394,0.0007900774,0.16956577,0.00045156485,0.000027596112,0.00037289207,0.002140547,0.015582099,0.0029466678,0.7931275,0.013882513,0.0003031646],"about_ca_topic_score_codex":0.0000048146653,"about_ca_topic_score_gemma":0.0000012689034,"teacher_disagreement_score":0.1683282,"about_ca_system_score_codex":0.000021929196,"about_ca_system_score_gemma":0.000056421373,"threshold_uncertainty_score":0.935051},"labels":[],"label_agreement":null},{"id":"W4404618958","doi":"10.54254/2753-8818/62/20241456","title":"Therapeutic role of dabrafenib on thyroid cancer","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","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":"Queen's University","funders":"","keywords":"Dabrafenib; Trametinib; Anaplastic thyroid cancer; Thyroid cancer; Medicine; Cancer research; Cancer; MAPK/ERK pathway; Oncology; Thyroid; Internal medicine; Vemurafenib; Signal transduction; Biology","score_opus":0.005341302899046032,"score_gpt":0.29143435013204455,"score_spread":0.2860930472329985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404618958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94583315,0.043053336,0.000003862329,0.004252795,0.00019557755,0.0001356456,0.0000073332,0.000035684643,0.006482622],"genre_scores_gemma":[0.9981237,0.0012593563,0.000031381045,0.00042085772,0.000060116225,0.000011849281,6.4387297e-7,0.0000046775162,0.00008740784],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992357,0.00000916688,0.00008282819,0.00023016389,0.00026956375,0.00017259679],"domain_scores_gemma":[0.9996694,0.00008141818,0.000010270696,0.00010662569,0.000030766972,0.000101553094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013817116,0.00007877598,0.0001239847,0.000057187448,0.000052074996,0.000024305005,0.00007033214,0.000022688459,0.00019569337],"category_scores_gemma":[0.000017575376,0.000041351643,0.00003921364,0.00029648427,0.0012044808,0.000051401068,0.000030805142,0.0001148846,0.00001086976],"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":[0.00008852262,0.00004850055,0.00055563124,0.000019516841,0.000015728114,0.000006299293,0.000116990945,4.0180663e-7,0.060310666,0.8065358,0.000026975074,0.13227497],"study_design_scores_gemma":[0.0012963533,0.0023316045,0.11833336,0.00094404287,0.0002842884,0.00007598722,0.00015219176,0.00655148,0.654125,0.21057208,0.005014768,0.0003188754],"about_ca_topic_score_codex":0.000022102158,"about_ca_topic_score_gemma":0.0000012886079,"teacher_disagreement_score":0.5959637,"about_ca_system_score_codex":0.000045909124,"about_ca_system_score_gemma":0.00010260431,"threshold_uncertainty_score":0.44379595},"labels":[],"label_agreement":null},{"id":"W4404618993","doi":"10.54254/2753-8818/62/20241479","title":"Therapeutic effects of Alirocumab on atherosclerosis: mechanisms and clinical applications","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","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":"Columbia College","funders":"","keywords":"Alirocumab; PCSK9; Kexin; LDL receptor; Medicine; Atherosclerotic cardiovascular disease; Familial hypercholesterolemia; Clinical trial; Evolocumab; Proprotein convertase; Low-density lipoprotein; Pharmacology; Lipoprotein; Cholesterol; Internal medicine; Disease","score_opus":0.007770192295311833,"score_gpt":0.3059876886966965,"score_spread":0.2982174964013847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404618993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98185307,0.0089499885,0.0053041033,0.0018204732,0.00024781836,0.0008225449,0.0000021072437,0.00007167858,0.0009282118],"genre_scores_gemma":[0.9980848,0.0008345787,0.00048564954,0.00047764904,0.000070556416,0.000016938986,3.9238915e-7,0.0000052930695,0.000024185303],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990787,0.000040008264,0.0001326418,0.00027811818,0.00031646242,0.00015407281],"domain_scores_gemma":[0.9994329,0.00019276926,0.00001306108,0.0001796112,0.00003138097,0.00015026677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084064767,0.00007229251,0.00018146659,0.000043579625,0.0000845826,0.00002585122,0.000065924774,0.000048692982,0.000008943754],"category_scores_gemma":[0.00006803364,0.000040670704,0.000071465576,0.00025504123,0.0014328866,0.0000388748,0.000045363846,0.00018812112,0.000005365217],"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":[0.000023620825,0.000030484265,0.000038788203,0.00012872479,0.000017734814,0.000001508163,0.00002705833,1.4443378e-8,0.01083868,0.8039355,0.0000013495447,0.18495652],"study_design_scores_gemma":[0.0026192968,0.0047544935,0.16926494,0.0017932632,0.0007756903,0.00023705003,0.00011881407,0.006382891,0.09905513,0.7125274,0.0019739687,0.0004970628],"about_ca_topic_score_codex":0.000004898052,"about_ca_topic_score_gemma":1.7731125e-7,"teacher_disagreement_score":0.18445946,"about_ca_system_score_codex":0.000013128868,"about_ca_system_score_gemma":0.00006482502,"threshold_uncertainty_score":0.527953},"labels":[],"label_agreement":null},{"id":"W4404728610","doi":"10.54254/2753-8818/2024.17941","title":"Reverse Inference: Decoding of Brain Activity and Cognitive Process","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Cognitive Science and Education Research","field":"Neuroscience","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":"Inference; Decoding methods; Cognition; Computer science; Process (computing); Cognitive science; Cognitive psychology; Psychology; Artificial intelligence; Neuroscience; Algorithm; Programming language","score_opus":0.028633520020512667,"score_gpt":0.4105739636669577,"score_spread":0.381940443646445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404728610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937953,0.00010955511,0.0001353397,0.0029189931,0.00012001717,0.00012080413,0.0000064737355,0.000022865659,0.0027707028],"genre_scores_gemma":[0.9995014,0.00006115527,0.000020112053,0.00028815103,0.00001918556,0.0000046442356,1.2785482e-7,0.0000022091715,0.000103030055],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99872565,0.00006179353,0.00008117178,0.00043019094,0.00042806854,0.00027312298],"domain_scores_gemma":[0.99794203,0.0017261098,0.000017065518,0.000054538326,0.00010788601,0.00015235123],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00087053183,0.00007342698,0.00008580695,0.00015025021,0.00024454,0.00016572204,0.0001738116,0.00002349432,0.00012925087],"category_scores_gemma":[0.006350512,0.000048912567,0.000014981558,0.0012066135,0.0069842706,0.0005877194,0.00014655355,0.00021631115,0.00000993107],"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":[0.00003799016,0.000021588576,0.0002848715,0.000052490406,7.7118347e-7,0.000006843957,0.0010781011,5.937701e-8,0.55862474,0.3136318,0.000007738117,0.12625296],"study_design_scores_gemma":[0.00013944868,0.00014689325,0.011439956,0.00024374631,0.000008782126,0.000049838014,0.00086184754,0.013057419,0.852616,0.12123236,0.000031123156,0.00017257797],"about_ca_topic_score_codex":0.0000076094575,"about_ca_topic_score_gemma":9.694672e-7,"teacher_disagreement_score":0.29399124,"about_ca_system_score_codex":0.000010577214,"about_ca_system_score_gemma":0.00024803221,"threshold_uncertainty_score":0.9957181},"labels":[],"label_agreement":null},{"id":"W4404728853","doi":"10.54254/2753-8818/63/20241560","title":"The relationship between UHRF1 and DNMT1 and the process of DNA methylation","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","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":"Earl Haig Secondary School","funders":"","keywords":"DNMT1; DNA methylation; DNA; Process (computing); DNA methyltransferase; Computational biology; Methylation; Biology; Genetics; Computer science; Methyltransferase; Gene; Gene expression","score_opus":0.00591902362545077,"score_gpt":0.28221871177054386,"score_spread":0.2762996881450931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404728853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889634,0.007988044,0.00018852766,0.002393476,0.00005920289,0.000106593834,0.0000024290741,0.0000048254387,0.0002934987],"genre_scores_gemma":[0.999636,0.00019444342,0.000026453034,0.000014888754,0.00006207973,0.0000030239578,0.0000025258491,0.0000024967856,0.00005807543],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994861,0.000044946606,0.00009111428,0.0001639508,0.00012287541,0.000091000366],"domain_scores_gemma":[0.99951226,0.00031602057,0.000021852953,0.00007865908,0.000038934897,0.00003228887],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00079669943,0.000049560276,0.000050734066,0.000017912454,0.00022001065,0.000057326593,0.000077073346,0.0000440636,0.000001032375],"category_scores_gemma":[0.00040769484,0.000023554236,0.000013315398,0.00018879405,0.003305307,0.00000962902,0.00006455746,0.00008409255,2.0109778e-7],"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":[0.000092190865,0.0000015320978,0.0025308537,0.00002399947,0.0000092647315,7.527693e-8,0.00020330881,0.0000035680682,0.046119798,0.9172643,0.00001055974,0.033740547],"study_design_scores_gemma":[0.00058837014,0.00014504301,0.25501907,0.00007337121,0.00008127386,0.00002725032,0.00015045854,0.00781542,0.13554947,0.59955364,0.0008147132,0.00018193695],"about_ca_topic_score_codex":0.0000023808332,"about_ca_topic_score_gemma":0.00000194152,"teacher_disagreement_score":0.31771067,"about_ca_system_score_codex":0.0000040763193,"about_ca_system_score_gemma":0.000038826074,"threshold_uncertainty_score":0.9994071},"labels":[],"label_agreement":null},{"id":"W4404728891","doi":"10.54254/2753-8818/63/20241569","title":"3D Bioprinting Innovations: Pioneering Solutions for Cardiac Disease","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"3D Printing in Biomedical Research","field":"Engineering","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":"3D bioprinting; Disease; Medicine; Internal medicine; Biomedical engineering; Tissue engineering","score_opus":0.010814392506690943,"score_gpt":0.28313189793659016,"score_spread":0.27231750542989924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404728891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87593323,0.012561404,0.09763291,0.004725638,0.0031460326,0.0006543099,0.000048637252,0.0014059506,0.0038919155],"genre_scores_gemma":[0.9969949,0.00007928172,0.0027180573,0.000015595657,0.000114930706,0.000023099552,0.0000022318015,0.000008260441,0.000043637112],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989972,0.0000070298297,0.00010868318,0.00019794852,0.00026254935,0.00042655427],"domain_scores_gemma":[0.99936074,0.0003068617,0.0000032192534,0.000097061195,0.000058781512,0.0001733556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010181823,0.00007052177,0.00006601543,0.00014114016,0.00024159564,0.0001691537,0.00016901558,0.000025816276,0.000025513113],"category_scores_gemma":[0.0009448039,0.000053174896,0.000027989203,0.0009020647,0.00130478,0.00015558072,0.00016027191,0.00020085416,0.000014760686],"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":[0.0000021424169,0.0000022034053,0.000025699672,0.0000881982,0.0000042112238,0.0000010468771,0.000026287755,0.000037814774,0.026690165,0.9166004,0.00004954909,0.056472275],"study_design_scores_gemma":[0.00005100862,0.000012964158,0.003497765,0.00014627285,0.000010499553,0.0000021240958,0.00001633255,0.90728843,0.002278602,0.08071667,0.0058108037,0.0001685347],"about_ca_topic_score_codex":0.000001133683,"about_ca_topic_score_gemma":5.624067e-8,"teacher_disagreement_score":0.9072506,"about_ca_system_score_codex":0.0000448887,"about_ca_system_score_gemma":0.000057484067,"threshold_uncertainty_score":0.48075163},"labels":[],"label_agreement":null},{"id":"W4404773881","doi":"10.54254/2753-8818/2024.au18005","title":"Testing the relationship between bleaching severity and climate change during the fourth large-scale coral bleaching event","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Coral and Marine Ecosystems Studies","field":"Environmental 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":"National Oceanic and Atmospheric Administration; Sabah Biodiversity Centre","keywords":"Coral bleaching; Coral; Climate change; Scale (ratio); Environmental science; Event (particle physics); Climatology; Oceanography; Geography; Geology; Cartography","score_opus":0.019672338094759663,"score_gpt":0.2587667780655538,"score_spread":0.23909443997079416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404773881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947767,0.00051507086,0.000044131666,0.0032206196,0.00016692607,0.00020490006,0.0000067804467,0.000060650567,0.0010041938],"genre_scores_gemma":[0.99953204,0.000025006908,0.00014081447,0.000093599534,0.00014109132,0.000012046161,5.2780933e-7,0.000005269607,0.00004960901],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986811,0.00009070255,0.00014735642,0.00034439578,0.00030739783,0.00042901371],"domain_scores_gemma":[0.9988653,0.0008816256,0.00003049642,0.00012751951,0.0000071098284,0.000087937064],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0018746773,0.00012416753,0.00010825459,0.000021365675,0.0021226732,0.00020799391,0.0002431426,0.00002522762,0.000024187859],"category_scores_gemma":[0.00034999388,0.00005790909,0.000027632173,0.00044432443,0.0014660044,0.00037872125,0.0012586566,0.0004281955,0.000019736655],"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":[0.000006452796,0.00000540861,0.9191005,0.00003517721,0.0000024931976,0.0000033225078,0.0015938453,0.0000015827133,0.00044487882,0.060788244,0.000006101541,0.018011985],"study_design_scores_gemma":[0.00005486524,0.000021771608,0.97024083,0.00007803229,0.000016789396,0.000036219306,0.00022947823,0.012657927,0.000023484543,0.01637848,0.00015481093,0.00010732105],"about_ca_topic_score_codex":0.000190582,"about_ca_topic_score_gemma":0.00011526714,"teacher_disagreement_score":0.051140316,"about_ca_system_score_codex":0.000053396023,"about_ca_system_score_gemma":0.0000059499343,"threshold_uncertainty_score":0.99917644},"labels":[],"label_agreement":null},{"id":"W4405119473","doi":"10.54254/2753-8818/2024.18010","title":"Research on schizophrenia – based on dementia, working memory and episodic memory deficits","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","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","funders":"","keywords":"Dementia; Schizophrenia (object-oriented programming); Psychology; Working memory; Episodic memory; Psychiatry; Prefrontal cortex; Population; Cognition; Medicine; Disease","score_opus":0.02222826135961281,"score_gpt":0.35035529274366056,"score_spread":0.32812703138404775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405119473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9508631,0.0019625654,0.000037354966,0.0040247133,0.0001635452,0.00034311417,0.0000016375689,0.00005693143,0.04254703],"genre_scores_gemma":[0.9985048,0.0000922168,0.00015239701,0.000636609,0.00010677257,0.000015812682,0.0000023385094,0.000010002999,0.00047900857],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99711025,0.00015018864,0.00013426553,0.0005994444,0.0013855939,0.0006202728],"domain_scores_gemma":[0.9986049,0.00074592856,0.000009468755,0.00017375834,0.00012029337,0.00034563424],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0031124672,0.0001364147,0.00014976213,0.0005115426,0.00044913348,0.0002477708,0.00016026427,0.00005394997,0.0004568634],"category_scores_gemma":[0.0003755721,0.000085715496,0.000038171493,0.001089117,0.0038198235,0.00009732341,0.00017402388,0.0007723189,0.0000858705],"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":[0.001643834,0.00016581245,0.0016218784,0.0001607672,0.000026272226,0.000280361,0.000101319805,0.0000013897359,0.020772852,0.49258327,0.0001521529,0.48249006],"study_design_scores_gemma":[0.008782853,0.013144578,0.41487077,0.007897301,0.00041398592,0.00034774301,0.0015404273,0.17849126,0.2287456,0.14181954,0.00249724,0.0014487188],"about_ca_topic_score_codex":0.000006741598,"about_ca_topic_score_gemma":0.0000010090089,"teacher_disagreement_score":0.48104137,"about_ca_system_score_codex":0.00005321656,"about_ca_system_score_gemma":0.00021051762,"threshold_uncertainty_score":0.99889123},"labels":[],"label_agreement":null},{"id":"W4405157937","doi":"10.54254/2753-8818/2024.la17931","title":"Methodologies of meat analogue production and nutritional perspectives: A review","year":2024,"lang":"en","type":"review","venue":"Theoretical and Natural Science","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental 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":"Production (economics); Sustainability; Micronutrient; Business; Food processing; Consumption (sociology); Animal production; Meat packing industry; Population; Global population; Biotechnology; Agricultural science; Agricultural economics; Food science; Economics; Biology; Environmental health; Medicine","score_opus":0.02360600466279656,"score_gpt":0.3434095169261024,"score_spread":0.31980351226330583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405157937","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00033501838,0.9976089,0.000008077635,0.0006906235,0.000068765105,0.00050562056,0.000014505076,0.000019402432,0.00074910524],"genre_scores_gemma":[0.011833372,0.98711294,0.0008727038,0.00003686912,0.00003380782,0.000015817912,0.000005067221,0.000005401883,0.00008401122],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99826556,0.00018409191,0.00026319028,0.00064760784,0.00038848483,0.0002510621],"domain_scores_gemma":[0.99945563,0.00016750746,0.00008118751,0.00016288146,0.000012723772,0.000120041484],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011783966,0.0002421252,0.0006416375,0.000049272905,0.00013814592,0.000030038318,0.00023997847,0.000090807094,0.00024638278],"category_scores_gemma":[0.0010537023,0.00012135526,0.00012925404,0.0007427091,0.009642223,0.00023897852,0.0005364855,0.00035523827,0.000019615198],"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":[0.000013272657,0.000081416736,0.0000141124065,0.025953645,0.00003584712,0.000008738603,0.0003602328,3.772237e-7,0.0000835175,0.25835285,0.0006425945,0.7144534],"study_design_scores_gemma":[0.00021489983,0.00091974565,0.0027201874,0.086497575,0.0050243596,0.0024017796,0.0031754978,0.0000431801,0.0001708859,0.47878137,0.41759905,0.0024514655],"about_ca_topic_score_codex":0.000013147936,"about_ca_topic_score_gemma":0.0000018909833,"teacher_disagreement_score":0.7120019,"about_ca_system_score_codex":0.00017283665,"about_ca_system_score_gemma":0.000030841114,"threshold_uncertainty_score":0.99305296},"labels":[],"label_agreement":null},{"id":"W4405820759","doi":"10.54254/2753-8818/2024.18872","title":"Epigenetic Regulation of the Circadian Clock: Mechanisms and Clinical Implications","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Circadian rhythm and melatonin","field":"Neuroscience","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":"McMaster University","funders":"","keywords":"Epigenome; Epigenetics; Circadian clock; Circadian rhythm; Biology; DNA methylation; CLOCK; Epigenomics; Histone; Computational biology; Genetics; Neuroscience; Gene; Gene expression","score_opus":0.013949232995182134,"score_gpt":0.29357546206972623,"score_spread":0.2796262290745441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405820759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98992455,0.0008606031,0.0006020007,0.005990026,0.00051438954,0.0001897456,0.0000076126676,0.000035041816,0.001876024],"genre_scores_gemma":[0.99927765,0.00014539463,0.00014959158,0.00027599273,0.000038655362,0.0000023975356,1.372217e-7,0.000004064289,0.00010611427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99899346,0.00006941128,0.00017591973,0.00036616315,0.00019991914,0.00019513602],"domain_scores_gemma":[0.9992267,0.00039603992,0.000026692382,0.00019107228,0.00002311557,0.00013638595],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005396244,0.00006872708,0.000087014385,0.000051522962,0.00024171229,0.00007157983,0.00021161957,0.0000475627,0.000027858041],"category_scores_gemma":[0.000541964,0.00003990624,0.000041455234,0.00059056736,0.004186939,0.00011424057,0.00013454484,0.00018212966,0.00000752476],"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":[0.0000024208396,0.0000046275854,0.0001775458,0.000004758209,4.606031e-7,3.863472e-7,0.000046667257,2.4234396e-7,0.18294623,0.8030243,0.0000037749871,0.013788617],"study_design_scores_gemma":[0.0000720962,0.00004133154,0.2160813,0.000037535967,0.000014166274,0.00007760167,0.000008475819,0.005236312,0.2105038,0.5675435,0.0003018778,0.00008197523],"about_ca_topic_score_codex":0.0000022096965,"about_ca_topic_score_gemma":9.604677e-7,"teacher_disagreement_score":0.23548074,"about_ca_system_score_codex":0.000012176054,"about_ca_system_score_gemma":0.00009116484,"threshold_uncertainty_score":0.9985231},"labels":[],"label_agreement":null},{"id":"W4405823938","doi":"10.54254/2753-8818/2024.18881","title":"A Study on the Bi-directional Relationship Between Sleep Disturbance and Alzheimer’s Disease","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Sleep and Wakefulness Research","field":"Neuroscience","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":"Disturbance (geology); Alzheimer's disease; Disease; Sleep disorder; Sleep (system call); Neuroscience; Psychology; Medicine; Computer science; Biology; Internal medicine; Cognition; Paleontology","score_opus":0.0672766014368668,"score_gpt":0.3499048802197328,"score_spread":0.282628278782866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405823938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911656,0.0006321139,0.0000257206,0.006272001,0.00020022513,0.00028735516,0.000012351338,0.00006530124,0.0013393647],"genre_scores_gemma":[0.9995967,0.000008309865,0.000004900397,0.00019944331,0.00008958428,0.00002616916,3.5461682e-7,0.000005407398,0.00006912825],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982145,0.00017947299,0.00010201546,0.00053003477,0.000690027,0.00028398],"domain_scores_gemma":[0.99614954,0.0034304946,0.000008233029,0.00016966491,0.000022854663,0.00021918859],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00082263426,0.000106343876,0.000079213234,0.00009271387,0.00082070474,0.0003459904,0.00029540426,0.000020121197,0.000034610915],"category_scores_gemma":[0.0022981511,0.00005377673,0.00002358421,0.0009298481,0.0038210456,0.0002184681,0.00018935931,0.00039878214,0.00003633613],"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":[0.000042120064,0.00003280706,0.031413324,0.0000030250144,0.0000025855518,0.000020528898,0.00018145004,4.0466438e-7,0.00058901,0.9625442,0.000022359613,0.005148181],"study_design_scores_gemma":[0.00011363982,0.00012521872,0.8315291,0.000027806896,0.00002931468,0.000009528625,0.00007586991,0.0022746574,0.005238172,0.16032234,0.00011863465,0.00013571102],"about_ca_topic_score_codex":0.0000028283507,"about_ca_topic_score_gemma":3.3829522e-7,"teacher_disagreement_score":0.80222183,"about_ca_system_score_codex":0.00001664177,"about_ca_system_score_gemma":0.00004926557,"threshold_uncertainty_score":0.99889},"labels":[],"label_agreement":null},{"id":"W4406035390","doi":"10.54254/2753-8818/2024.la19338","title":"Development and Treatment of Specific Dermatitis Vaccine","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Poxvirus research and outbreaks","field":"Immunology and Microbiology","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":"McMaster University","funders":"","keywords":"Dermatology; Medicine","score_opus":0.0072415975120068855,"score_gpt":0.2598556483952409,"score_spread":0.252614050883234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406035390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98857826,0.007818552,0.000026367245,0.0005804483,0.00009011938,0.00007407565,0.0000026273503,0.000008464944,0.0028210655],"genre_scores_gemma":[0.9985481,0.00069874927,0.00028927138,0.00005865579,0.0000031104234,0.0000024458486,0.0000019780525,7.956999e-7,0.0003969291],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995141,0.000022210515,0.00009476338,0.00014226059,0.000030512136,0.00019614436],"domain_scores_gemma":[0.9997809,0.00008536498,0.000011725893,0.00006622786,0.00002846875,0.000027328531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013474945,0.000058179485,0.00010784715,0.00007121967,0.00015697765,0.000011020397,0.00008724301,0.00003194786,0.000095732416],"category_scores_gemma":[0.000034544442,0.000034259578,0.000010362912,0.00016240613,0.0014512184,0.00003944035,0.00007838795,0.000051479983,0.00001274484],"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":[0.00005959273,0.00003114965,0.0005996862,0.000005147266,0.000011206402,0.0000015378656,0.00020503963,8.30646e-9,0.19020937,0.51038116,0.00006796456,0.29842815],"study_design_scores_gemma":[0.0008933746,0.00012545721,0.08689987,0.00002832247,0.0000058667497,0.000024832883,0.0000746137,0.000010723857,0.8400964,0.009603641,0.062158886,0.000078003715],"about_ca_topic_score_codex":0.000008733815,"about_ca_topic_score_gemma":0.0000042633533,"teacher_disagreement_score":0.649887,"about_ca_system_score_codex":0.000019677213,"about_ca_system_score_gemma":0.00006294839,"threshold_uncertainty_score":0.5347074},"labels":[],"label_agreement":null},{"id":"W4406186905","doi":"10.54254/2753-8818/2024.19396","title":"Amyloid, Tau, and ApoE: Revisiting Hypotheses of Alzheimer's Disease","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Alzheimer's disease research and treatments","field":"Medicine","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; Humber Polytechnic","funders":"","keywords":"Apolipoprotein E; Amyloid (mycology); Alzheimer's disease; Disease; Psychology; Medicine; Neuroscience; Pathology","score_opus":0.012699514466692022,"score_gpt":0.31521970906863167,"score_spread":0.30252019460193963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406186905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95620185,0.037736792,0.0000075344037,0.0020987992,0.000026810209,0.00023512889,0.000009708817,0.000019284455,0.0036640752],"genre_scores_gemma":[0.99909025,0.0004544668,0.0001924217,0.00020587079,0.000023717632,0.0000044572016,0.0000020343443,0.000003007892,0.000023795414],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99900573,0.000030593576,0.00012349017,0.00026273707,0.0003152428,0.0002622093],"domain_scores_gemma":[0.99917233,0.00016028142,0.000022954237,0.00014483035,0.000094842915,0.00040478772],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00028829873,0.00009274591,0.00017598369,0.00009614982,0.00016300876,0.000029888934,0.00008123699,0.00002056247,0.000051524297],"category_scores_gemma":[0.00048997265,0.000056731766,0.00003589728,0.00036728175,0.0034995214,0.00009946967,0.00014767295,0.000105805324,0.000003211436],"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":[0.0008223835,0.00013661207,0.039413575,0.00014848242,0.0004627418,0.000071443086,0.000045597804,9.611326e-8,0.0033495808,0.87714136,0.000036401467,0.07837171],"study_design_scores_gemma":[0.0017503146,0.00027227588,0.86512744,0.0007909241,0.0010814641,0.00002775597,0.00012552743,0.0019695265,0.018471938,0.11008406,0.00007835946,0.00022043745],"about_ca_topic_score_codex":0.000009182646,"about_ca_topic_score_gemma":1.1101676e-7,"teacher_disagreement_score":0.8257139,"about_ca_system_score_codex":0.000011571847,"about_ca_system_score_gemma":0.00018167206,"threshold_uncertainty_score":0.9992124},"labels":[],"label_agreement":null},{"id":"W4406187432","doi":"10.54254/2753-8818/2024.la19344","title":"Sustainable Forestry Approaches for Combating Invasive Species: A Global Perspective","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"African Botany and Ecology Studies","field":"Agricultural and Biological Sciences","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":"Lakehead University","funders":"","keywords":"Perspective (graphical); Forestry; Invasive species; Business; Environmental resource management; Environmental planning; Agroforestry; Political science; Geography; Ecology; Environmental science; Computer science; Biology; Artificial intelligence","score_opus":0.015448368530045511,"score_gpt":0.24296374579199895,"score_spread":0.22751537726195342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406187432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97428715,0.00040955353,0.000036737536,0.006818595,0.000081897706,0.0002995374,0.000013455209,0.000035370627,0.018017692],"genre_scores_gemma":[0.9984618,0.000017648113,0.0002024859,0.0003566118,0.000057777663,0.000025816109,0.0000015766781,2.428013e-7,0.0008760872],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988961,0.00002575685,0.00010828645,0.00036716874,0.00012274894,0.00047992298],"domain_scores_gemma":[0.9990589,0.0006306806,0.0000329007,0.000035885492,0.00016691697,0.00007470312],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00041650655,0.00011247453,0.00015864088,0.0000107607875,0.0010860327,0.00008550069,0.00028336796,0.000053278574,0.000028045763],"category_scores_gemma":[0.0011538133,0.000040794377,0.000048323334,0.0007103289,0.0034206235,0.00014661367,0.00031066485,0.0000926332,0.0000011893901],"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":[0.000054824417,0.000023288116,0.0059605944,0.00000802942,0.000008050672,0.0000017512049,0.00012082795,5.347008e-7,0.0017668176,0.9898,0.0000634903,0.002191829],"study_design_scores_gemma":[0.00017247965,0.00023315314,0.1813261,0.000017582119,0.000019119741,0.000005772522,0.0357603,0.00070346275,0.0006910427,0.7804514,0.00045848024,0.0001611048],"about_ca_topic_score_codex":0.0000483328,"about_ca_topic_score_gemma":0.00008891588,"teacher_disagreement_score":0.20934856,"about_ca_system_score_codex":0.00012551325,"about_ca_system_score_gemma":0.000049055274,"threshold_uncertainty_score":0.9992915},"labels":[],"label_agreement":null},{"id":"W4406187937","doi":"10.54254/2753-8818/2024.la19389","title":"Therapeutic role of kaempferol on inflammatory bowel disease through anti-inflammatory effects","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Pharmacological Effects of Natural Compounds","field":"Pharmacology, Toxicology and Pharmaceutics","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":"Earl Haig Secondary School","funders":"","keywords":"Inflammatory bowel disease; Anti-inflammatory; Inflammatory Bowel Diseases; Medicine; Kaempferol; Inflammatory response; Disease; Immunology; Pharmacology; Traditional medicine; Inflammation; Internal medicine; Quercetin; Biology; Antioxidant","score_opus":0.01548218342856784,"score_gpt":0.37445501726525743,"score_spread":0.3589728338366896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406187937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98378265,0.004580764,0.00001468128,0.0018907672,0.0010469848,0.0006109671,0.00000864714,0.00012027562,0.007944237],"genre_scores_gemma":[0.99403656,0.0002581582,0.00003723951,0.0054475074,0.00007963802,0.000029446237,0.0000020755292,0.000009133227,0.000100237885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975706,0.0004988052,0.0003213314,0.00055070396,0.00041193183,0.0006466497],"domain_scores_gemma":[0.9970647,0.0020861558,0.00010007259,0.0002549809,0.000132576,0.0003615341],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011004406,0.0003074242,0.00033854318,0.00016412452,0.0004731417,0.000038598755,0.0007604274,0.0002121013,0.00016954588],"category_scores_gemma":[0.0005402435,0.00020941242,0.0001173738,0.0005527174,0.0059732525,0.00027620082,0.00035399263,0.0011158892,0.00003149064],"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":[0.0010432234,0.0001557602,0.0037879318,0.00012144525,0.000043119595,0.00002587424,0.00006194814,0.00003112392,0.3716868,0.6135023,0.00009523715,0.009445212],"study_design_scores_gemma":[0.002114671,0.00040413789,0.17048746,0.00014835455,0.00022661098,0.0000065579084,0.000031272262,0.010698005,0.494056,0.3163664,0.0049893744,0.00047115565],"about_ca_topic_score_codex":0.0000015552389,"about_ca_topic_score_gemma":2.6914515e-7,"teacher_disagreement_score":0.29713592,"about_ca_system_score_codex":0.00007749962,"about_ca_system_score_gemma":0.00019374468,"threshold_uncertainty_score":0.99673194},"labels":[],"label_agreement":null},{"id":"W4406188011","doi":"10.54254/2753-8818/2024.19359","title":"Corvid Intelligence and Social Complexity: An In-Depth Exploration of Adaptation Across Varied Ecological Contexts","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"COVID-19 epidemiological studies","field":"Mathematics","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":"Adaptation (eye); Ecology; Psychology; Geography; Biology; Neuroscience","score_opus":0.26190302952251177,"score_gpt":0.4590653751629588,"score_spread":0.19716234564044705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406188011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815629,0.00008697427,0.014987765,0.0026782546,0.000059413695,0.00020219783,0.0000038769945,0.000028478342,0.00039010574],"genre_scores_gemma":[0.99713737,0.00003636277,0.0023911917,0.00040741917,0.000010603448,0.000007885601,0.000001117084,0.000001517435,0.0000065465742],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988341,0.00016269243,0.00028992593,0.00030145523,0.00017031231,0.00024152771],"domain_scores_gemma":[0.99792475,0.0017895952,0.00006979449,0.000073450625,0.00009706434,0.000045344343],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0017041103,0.00009776338,0.0002778909,0.000041616462,0.00028071454,0.000033481127,0.00017544776,0.00006843872,0.000013814746],"category_scores_gemma":[0.0034237085,0.00006265563,0.000019648767,0.0003771215,0.0057821767,0.00024792267,0.00027550216,0.00016602591,5.9385445e-7],"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":[0.00009799983,0.00006447008,0.0010760133,0.000027253343,0.0000022672916,8.248325e-7,0.0020050448,0.0000027422764,0.00065640686,0.9742699,0.0000021929561,0.021794831],"study_design_scores_gemma":[0.00013524454,0.00012387849,0.0787968,0.00001827914,0.0000056227263,5.9852243e-7,0.0011720777,0.011980626,0.00061982026,0.90706694,0.0000073513093,0.00007273351],"about_ca_topic_score_codex":0.000030160587,"about_ca_topic_score_gemma":0.00017328655,"teacher_disagreement_score":0.07772078,"about_ca_system_score_codex":0.000040184306,"about_ca_system_score_gemma":0.000033545723,"threshold_uncertainty_score":0.9969235},"labels":[],"label_agreement":null},{"id":"W4406226492","doi":"10.54254/2753-8818/2024.la19853","title":"Dietary structure and pattern in prevention of prediabetes","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","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":"Western University","funders":"","keywords":"Prediabetes; Environmental health; Medicine; Diabetes mellitus; Endocrinology; Type 2 diabetes","score_opus":0.002206509649772013,"score_gpt":0.24025743740797004,"score_spread":0.23805092775819803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406226492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968826,0.0026495755,0.00003344276,0.00015234256,0.000049333987,0.0000634361,0.000009636252,0.0000016618151,0.00015797155],"genre_scores_gemma":[0.99952763,0.00021305346,0.000109866734,0.000096609634,0.000017814456,0.0000012160344,0.0000074570394,0.0000010779966,0.000025262654],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995858,0.000018301092,0.00007306701,0.00016552312,0.000060095885,0.0000971895],"domain_scores_gemma":[0.9998399,0.0000092240725,0.000012631016,0.00007000481,0.00002905259,0.000039210856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000088391695,0.000045893696,0.00005546821,0.000033283264,0.000032719614,0.000009593614,0.000070257935,0.000034099376,0.000006129953],"category_scores_gemma":[0.00006727463,0.000034951667,0.000011987178,0.00009235147,0.0009805924,0.000003878608,0.000085629814,0.000034986137,4.319307e-8],"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":[0.00009311929,0.00004482383,0.067210324,0.00007592702,0.000004810213,4.6450674e-7,0.000034590434,0.0000011548408,0.86746526,0.014160426,0.000026045525,0.050883062],"study_design_scores_gemma":[0.0005048131,0.00016739812,0.4546134,0.00005347527,0.000012341348,0.0000014842669,0.00003612888,0.00036609144,0.41421446,0.12989499,0.00004420766,0.000091207825],"about_ca_topic_score_codex":0.0000025918762,"about_ca_topic_score_gemma":0.0000049192768,"teacher_disagreement_score":0.45325077,"about_ca_system_score_codex":0.000002171138,"about_ca_system_score_gemma":0.000030594812,"threshold_uncertainty_score":0.3613034},"labels":[],"label_agreement":null},{"id":"W4406226708","doi":"10.54254/2753-8818/2024.19975","title":"Can SDH1 in Chinese Medicine Target ALK for NSCLC Remission?","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","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 Alberta","funders":"","keywords":"Medicine; Oncology; Internal medicine; Cancer research","score_opus":0.003603667013049308,"score_gpt":0.34602530774366747,"score_spread":0.34242164073061815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406226708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86098266,0.0021623436,0.0002790698,0.092081755,0.0004701611,0.000714365,0.000009246831,0.000038134902,0.043262266],"genre_scores_gemma":[0.9966808,0.00003314153,0.0008435231,0.0012848937,0.000046697467,0.000015956954,0.0000066806188,0.0000022571871,0.0010860241],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993357,0.000008712698,0.000111905065,0.00021022152,0.00014474739,0.00018868438],"domain_scores_gemma":[0.9995713,0.00014143741,0.000013189456,0.000095095005,0.000063645755,0.000115308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025691057,0.00007402294,0.00014787332,0.00010098811,0.00012206975,0.000008937641,0.000073138086,0.000026674665,0.00007854122],"category_scores_gemma":[0.00058158435,0.000037007474,0.000018390034,0.0005371529,0.0011530715,0.000042099364,0.00003314455,0.00008734738,4.770563e-7],"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":[0.00025262506,0.000065673405,0.011300687,0.000045378427,0.000011682403,0.000009116009,0.00044439553,6.402964e-7,0.011436959,0.9542211,0.0004229891,0.021788752],"study_design_scores_gemma":[0.005693836,0.0005296463,0.22721726,0.00063788035,0.000121268306,0.000030277555,0.00027859517,0.005586516,0.0034300995,0.7520111,0.0042745443,0.00018893425],"about_ca_topic_score_codex":0.000053632677,"about_ca_topic_score_gemma":0.000009944157,"teacher_disagreement_score":0.21591657,"about_ca_system_score_codex":0.00006320439,"about_ca_system_score_gemma":0.0001762184,"threshold_uncertainty_score":0.424854},"labels":[],"label_agreement":null},{"id":"W4406226722","doi":"10.54254/2753-8818/2024.la19836","title":"On-target off-tumor toxicity from HER2-targeting chimeric antigen receptor (CAR) engineered T cell therapy: current solutions","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"CAR-T cell therapy research","field":"Medicine","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":"McMaster University","funders":"","keywords":"Chimeric antigen receptor; Toxicity; Current (fluid); Antigen; Cancer research; Receptor; Cell therapy; CAR T-cell therapy; Medicine; Immunotherapy; Cell; Immunology; Biology; Internal medicine; Immune system; Engineering; Biochemistry","score_opus":0.01086847989251262,"score_gpt":0.28991178859551886,"score_spread":0.27904330870300625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406226722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840961,0.007798801,0.00023658088,0.0018649885,0.0006036473,0.00043901667,0.000025427771,0.00007809263,0.0048573376],"genre_scores_gemma":[0.99727845,0.00084941444,0.0008157509,0.00044767634,0.00014720112,0.000011767131,0.000017034996,0.000011122864,0.00042157783],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978835,0.00009548239,0.00022592342,0.00054288004,0.0006002206,0.00065199984],"domain_scores_gemma":[0.99884677,0.00040504613,0.000035496072,0.00029295,0.00013581879,0.0002839219],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008049421,0.00020160434,0.00029209335,0.0001701749,0.00038431372,0.00006950668,0.00032773172,0.00005579555,0.0025382342],"category_scores_gemma":[0.0004486831,0.00013648995,0.00009705343,0.0009831126,0.001867674,0.000090971545,0.0001813132,0.0006140755,0.000038810726],"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":[0.00050606,0.00024047369,0.0005619843,0.000018896573,0.000019114164,0.000005823908,0.00017545042,0.0000033569465,0.90865433,0.048604395,0.000628159,0.040581934],"study_design_scores_gemma":[0.0026708767,0.00075630273,0.016724655,0.0002915158,0.000032581018,0.000010433639,0.00017701738,0.01900311,0.8988746,0.04393859,0.016969698,0.0005506636],"about_ca_topic_score_codex":0.000033503686,"about_ca_topic_score_gemma":5.2884036e-7,"teacher_disagreement_score":0.04003127,"about_ca_system_score_codex":0.000105287916,"about_ca_system_score_gemma":0.0002549309,"threshold_uncertainty_score":0.99837357},"labels":[],"label_agreement":null},{"id":"W4406226749","doi":"10.54254/2753-8818/2024.la19838","title":"Challenges and innovations in managing cytokine release syndrome in CAR-T therapy: mechanisms, clinical impact, and future directions","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"CAR-T cell therapy research","field":"Medicine","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":"Cytokine; Cytokine release syndrome; Medicine; Intensive care medicine; Immunology; Immunotherapy; Immune system","score_opus":0.021885036358453975,"score_gpt":0.36297704502978617,"score_spread":0.3410920086713322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406226749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96542114,0.012425147,0.000008517909,0.018989729,0.00009949887,0.00028456922,0.0000019057097,0.000020832043,0.0027486386],"genre_scores_gemma":[0.9638725,0.035481505,0.00016523684,0.00030539714,0.000035880697,0.000009183733,0.0000012214465,0.00000461082,0.00012447043],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99882287,0.00008440803,0.00020955646,0.00038002568,0.00021366586,0.0002894744],"domain_scores_gemma":[0.9993661,0.00025943446,0.000017994336,0.00015531923,0.00006354976,0.00013757609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014004394,0.00010832488,0.00024142751,0.00041310416,0.00010902648,0.000036067268,0.00008829364,0.00007882512,0.00006316157],"category_scores_gemma":[0.00021415572,0.00007203855,0.000023093507,0.0011489637,0.0014814418,0.00011376455,0.00012310642,0.0005269709,4.8734165e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002991993,0.00007271246,0.002963818,0.000023091634,0.00001014673,0.000046019723,0.00022548105,7.243236e-8,0.009270371,0.52893144,0.000002345388,0.4581553],"study_design_scores_gemma":[0.0017718696,0.00040600746,0.8371915,0.00015064458,0.000010403357,0.0002183755,0.00039910426,0.0014727139,0.000477098,0.15681474,0.0009552754,0.0001322565],"about_ca_topic_score_codex":0.000037700982,"about_ca_topic_score_gemma":0.000043736207,"teacher_disagreement_score":0.8342277,"about_ca_system_score_codex":0.000053485717,"about_ca_system_score_gemma":0.000105407,"threshold_uncertainty_score":0.54584336},"labels":[],"label_agreement":null},{"id":"W4406226766","doi":"10.54254/2753-8818/2024.19966","title":"Experimental Design: Investigating the Role of Autophagy and BDNF in Neuronal Death Under Chronic Stress","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Autophagy in Disease and Therapy","field":"Medicine","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":"Autophagy; Chronic stress; Stress (linguistics); Neuroscience; Psychology; Biology; Apoptosis; Genetics; Philosophy","score_opus":0.008698068657521403,"score_gpt":0.2943603567457875,"score_spread":0.28566228808826605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406226766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99000186,0.0085204905,0.000044320725,0.000514216,0.000035450954,0.0001403907,8.6941816e-7,0.000008991773,0.00073338416],"genre_scores_gemma":[0.99931854,0.0000376357,0.00012583552,0.00047443973,0.000016865786,0.000004505845,3.8320428e-7,0.0000021263793,0.000019691306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99936146,0.00003729324,0.0001040542,0.00016974218,0.00016347271,0.00016396551],"domain_scores_gemma":[0.9996563,0.00014702197,0.000018622528,0.000088279674,0.000017501523,0.00007228375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023117823,0.00006934424,0.00010659757,0.000045514986,0.00010237687,0.000016619102,0.00010316751,0.00002463536,0.00003060945],"category_scores_gemma":[0.000061994404,0.000038565333,0.000015105338,0.00023379798,0.002484744,0.000058723814,0.000089389374,0.00013531408,3.3223478e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058395348,0.000034293593,0.0019574994,0.00000960359,0.000004314263,0.000002191352,0.00016103026,0.000005505988,0.29238346,0.70099217,7.6136325e-7,0.0043907845],"study_design_scores_gemma":[0.00051166356,0.00015216538,0.1402266,0.00009701392,0.00001183035,0.000008350569,0.00022982714,0.013143116,0.72754467,0.1180195,0.000005551495,0.000049723283],"about_ca_topic_score_codex":0.000012263192,"about_ca_topic_score_gemma":4.5454178e-7,"teacher_disagreement_score":0.58297265,"about_ca_system_score_codex":0.000027451895,"about_ca_system_score_gemma":0.00016605086,"threshold_uncertainty_score":0.91551423},"labels":[],"label_agreement":null},{"id":"W4406248307","doi":"10.54254/2753-8818/2024.19897","title":"Klotho in Alzheimer's Disease: Evaluating Therapeutic Potential and Addressing Experimental Challenges","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Parathyroid Disorders and Treatments","field":"Medicine","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 Toronto","funders":"","keywords":"Klotho; Neuroinflammation; Neurodegeneration; Disease; Neuroscience; Oxidative stress; Cognitive decline; Amyloid (mycology); Medicine; Cognition; Dementia; Bioinformatics; Psychology; Biology; Pathology; Internal medicine","score_opus":0.035584944327372116,"score_gpt":0.38636595506868904,"score_spread":0.3507810107413169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406248307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78148085,0.21538012,0.000006467537,0.001454396,0.000050987885,0.0001336762,5.300615e-7,0.000011058046,0.0014819485],"genre_scores_gemma":[0.99895906,0.00062406214,0.0001365232,0.00024176145,0.0000119431115,0.000007659778,8.0396535e-7,0.000002539525,0.000015626803],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99921435,0.000033191845,0.0000861964,0.00026727552,0.00019916725,0.00019984573],"domain_scores_gemma":[0.9997315,0.00004278181,0.000012937651,0.00008071464,0.000019887248,0.00011219222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023262361,0.00008660125,0.00011807105,0.00007113755,0.0001475053,0.000033624372,0.000052687185,0.000022795768,0.000009810803],"category_scores_gemma":[0.00004987531,0.000056391964,0.000016964124,0.00016091159,0.0012499731,0.00008761557,0.0000772929,0.00007189815,0.0000011026342],"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":[0.0010582239,0.00042360075,0.008073682,0.000019395504,0.00004813653,0.00007261604,0.0006637647,0.0000017192971,0.08104575,0.71080995,0.0000084414505,0.19777474],"study_design_scores_gemma":[0.005087881,0.00050779287,0.83614796,0.0002586513,0.00026827317,0.00004562782,0.0010217829,0.036167797,0.017674211,0.10249605,0.000028458464,0.00029548383],"about_ca_topic_score_codex":0.0000049000078,"about_ca_topic_score_gemma":5.5000595e-7,"teacher_disagreement_score":0.82807434,"about_ca_system_score_codex":0.000017131506,"about_ca_system_score_gemma":0.00007043314,"threshold_uncertainty_score":0.4605578},"labels":[],"label_agreement":null},{"id":"W4406337747","doi":"10.54254/2753-8818/2025.20270","title":"Hamstring Strain in Sprinting Athletes: Biomechanics, Risk Factors, and Injury Prevention Strategies","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Sports injuries and prevention","field":"Medicine","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":"Hamstring; Athletes; Flexibility (engineering); Physical medicine and rehabilitation; Medicine; Eccentric; Biomechanics; Jumping; Physical therapy; Strain (injury); Concentric; Weakness; Anatomy","score_opus":0.005247900100465434,"score_gpt":0.2911819433836647,"score_spread":0.28593404328319927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406337747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99776304,0.00043112776,0.00042044223,0.00021243496,0.00012459986,0.0001580153,0.0000036785905,0.000022924125,0.0008637442],"genre_scores_gemma":[0.99918425,0.0002253911,0.00048235172,0.00003044438,0.000015987587,0.0000015496621,0.000002528833,0.0000021353558,0.000055337754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992346,0.00002559354,0.00016064412,0.00024271861,0.00014102797,0.00019540734],"domain_scores_gemma":[0.9997313,0.00005589861,0.00003776194,0.00008621402,0.000028626639,0.000060225957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081499224,0.0000847246,0.00013363945,0.00014369484,0.0001333723,0.00006872281,0.00005977391,0.0000482159,0.000035983478],"category_scores_gemma":[0.00021560246,0.000057478297,0.000024861924,0.00040684393,0.0007587879,0.00018560364,0.00009757822,0.00020892012,3.444577e-7],"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":[0.000071303824,0.000025252306,0.019104457,0.000042909465,0.000005242205,0.0000020170419,0.00013795095,1.9574699e-7,0.031813703,0.8004854,0.0000016649034,0.14830992],"study_design_scores_gemma":[0.00053430797,0.0002863761,0.4463011,0.0006142034,0.000050263818,0.0000065593717,0.0015964091,0.0036525007,0.02442799,0.52222306,0.00013475119,0.00017250996],"about_ca_topic_score_codex":0.000056803932,"about_ca_topic_score_gemma":0.000007038305,"teacher_disagreement_score":0.42719662,"about_ca_system_score_codex":0.00002387371,"about_ca_system_score_gemma":0.000081475046,"threshold_uncertainty_score":0.27957857},"labels":[],"label_agreement":null},{"id":"W4406337819","doi":"10.54254/2753-8818/2025.20187","title":"Understanding Factors that Contributes to Vaccine Hesitancy in the COVID-19 Context: The Intersection of Trust in Institutions, Socioeconomic Status and Demographic Factors","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","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":"Misinformation; Pandemic; Socioeconomic status; Public health; Context (archaeology); Vaccination; Public trust; Public relations; Political science; Politics; Coronavirus disease 2019 (COVID-19); Economic growth; Environmental health; Medicine; Population; Geography; Infectious disease (medical specialty); Virology; Disease","score_opus":0.04271542918810734,"score_gpt":0.3268468041818972,"score_spread":0.2841313749937899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406337819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832375,0.0008942859,0.0004333474,0.014017793,0.00018532513,0.00035334902,0.0000049621394,0.000010892781,0.0008625482],"genre_scores_gemma":[0.9986051,0.0002598185,0.000004288608,0.0011060587,0.000007923508,0.000004892261,7.982229e-7,0.0000014563132,0.000009687683],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99890584,0.00018903363,0.00019185926,0.00022658097,0.00016312486,0.0003235784],"domain_scores_gemma":[0.99871886,0.0010151421,0.000045350138,0.000096980635,0.000026624413,0.00009705308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014996976,0.00009848338,0.0001731324,0.00023017169,0.0007847664,0.0001192089,0.00029832605,0.000057570825,0.000028859895],"category_scores_gemma":[0.00093930704,0.00005322116,0.00003350086,0.0009492402,0.0010001586,0.00027028364,0.00007757967,0.0002192021,3.1492698e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027306118,0.0000081583175,0.40858817,0.0000042549505,0.0000023948608,3.6801018e-7,0.0062031215,0.0000010273108,0.000051922016,0.5849542,0.000017911761,0.000141164],"study_design_scores_gemma":[0.00040311154,0.0000369089,0.6696311,0.000036316997,0.000011413691,4.831057e-7,0.07085255,0.00005745998,0.00011040812,0.25849733,0.0002804988,0.00008237301],"about_ca_topic_score_codex":0.0016704643,"about_ca_topic_score_gemma":0.012076941,"teacher_disagreement_score":0.32645687,"about_ca_system_score_codex":0.00037691835,"about_ca_system_score_gemma":0.00033309576,"threshold_uncertainty_score":0.6739217},"labels":[],"label_agreement":null},{"id":"W4406381671","doi":"10.54254/2753-8818/2025.20471","title":"Research on Autonomous Car Sensor Fusion Methods","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","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":"Royal Society of Canada","funders":"","keywords":"Fusion; Computer science; Sensor fusion; Artificial intelligence; Philosophy","score_opus":0.027816710702430945,"score_gpt":0.3862360300158838,"score_spread":0.35841931931345283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406381671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8218511,0.000072288916,0.0003676421,0.033076804,0.00031190028,0.00013277507,3.8666153e-7,0.00012233025,0.1440648],"genre_scores_gemma":[0.99518746,0.000006258794,0.0014434848,0.0028643375,0.00008143787,0.000005213223,0.0000010669158,0.0000026724763,0.00040807377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990688,0.000022708608,0.00010913336,0.00027498236,0.00021404012,0.00031036246],"domain_scores_gemma":[0.9993166,0.00024171798,0.000020041589,0.00019047612,0.0002211492,0.0000100327225],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0021087974,0.00007331632,0.00009077075,0.0005653436,0.00072987966,0.00015531911,0.0003460676,0.00006535776,0.00008467184],"category_scores_gemma":[0.0006315442,0.000049308856,0.000017212566,0.0027178552,0.0039056414,0.0002442297,0.00043625967,0.0004240581,0.000068608235],"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":[0.000012355227,0.000015982812,0.00023465679,0.0000076376255,0.0000014074917,0.0000015155108,0.0000055381206,2.9066564e-7,0.0097671505,0.9468242,0.00029446714,0.04283481],"study_design_scores_gemma":[0.00020967511,0.000025803904,0.012981719,0.000056613317,0.000011488435,0.0000021116264,0.00040136866,0.0060819457,0.008719521,0.9515628,0.019800631,0.00014628061],"about_ca_topic_score_codex":0.000054349097,"about_ca_topic_score_gemma":0.000002899836,"teacher_disagreement_score":0.17333637,"about_ca_system_score_codex":0.000023599914,"about_ca_system_score_gemma":0.00003313688,"threshold_uncertainty_score":0.99880517},"labels":[],"label_agreement":null},{"id":"W4406400396","doi":"10.54254/2753-8818/2025.gu20456","title":"CRISPR/Cas9-Enhanced CAR-T Cell Therapy for Hematological Malignancies","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"CAR-T cell therapy research","field":"Medicine","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 British Columbia","funders":"","keywords":"CRISPR; CAR T-cell therapy; Medicine; Cancer research; Biology; Internal medicine; Cancer; Immunotherapy; Chimeric antigen receptor; Genetics; Gene","score_opus":0.013131264166333605,"score_gpt":0.3319525780267485,"score_spread":0.3188213138604149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406400396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97260046,0.0020358132,0.0010309152,0.004452079,0.000191228,0.0007018925,0.0000032684773,0.000058737376,0.018925626],"genre_scores_gemma":[0.9930614,0.00035286066,0.000815532,0.0012979794,0.00004640666,0.000037364323,0.0000017055871,0.000005656389,0.0043810974],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99850345,0.000034292974,0.00016021155,0.00042231238,0.00037613892,0.000503587],"domain_scores_gemma":[0.99897975,0.00039707794,0.000020030133,0.00022106821,0.000208627,0.0001734363],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006895552,0.00013573992,0.0002711582,0.00010696852,0.00025494886,0.00006299671,0.0002480237,0.000081632665,0.0005518442],"category_scores_gemma":[0.0003441116,0.00007924,0.00008313869,0.0005872236,0.003466953,0.00007094989,0.00011512967,0.00024052933,0.0000072249186],"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":[0.000737802,0.00005677037,0.00014349227,0.000036602116,0.0000052043115,0.0000045400407,0.00007545567,7.241853e-8,0.64964247,0.33084726,0.00013624165,0.01831406],"study_design_scores_gemma":[0.0015377213,0.0005026863,0.0028945776,0.000054183387,0.00001393705,0.000025276106,0.00012731606,0.00068167597,0.9232024,0.067975774,0.002850851,0.00013361424],"about_ca_topic_score_codex":0.000004626154,"about_ca_topic_score_gemma":4.995172e-7,"teacher_disagreement_score":0.2735599,"about_ca_system_score_codex":0.000043483906,"about_ca_system_score_gemma":0.00018717123,"threshold_uncertainty_score":0.99924505},"labels":[],"label_agreement":null},{"id":"W4406401131","doi":"10.54254/2753-8818/2025.20348","title":"Face Image Generation for Anime Characters based on Generative Adversarial Network","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Face recognition and analysis","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":"Anime; Face (sociological concept); Adversarial system; Generative grammar; Generative adversarial network; Image (mathematics); Computer science; Artificial intelligence; Computer vision; Noma; Linguistics; Telecommunications; Philosophy","score_opus":0.005964946186638014,"score_gpt":0.2527605137848769,"score_spread":0.2467955675982389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406401131","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037842706,0.000048639507,0.94854546,0.011068199,0.00063955423,0.00023765465,0.0000050855783,0.00006357305,0.001549123],"genre_scores_gemma":[0.97503066,0.000007100197,0.02170791,0.003015216,0.000109808316,0.000010211324,0.000005510689,0.0000016044535,0.00011195531],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989612,0.0000514243,0.00011233116,0.00040252312,0.00021010291,0.00026240025],"domain_scores_gemma":[0.9994562,0.0001616602,0.000030038847,0.00015444162,0.00011225133,0.00008535328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005481272,0.00009790357,0.00011398768,0.00009215581,0.00042305005,0.0002559534,0.00034530633,0.000034060587,0.000015735217],"category_scores_gemma":[0.00017072659,0.0000688892,0.00005312482,0.0007196203,0.00066040247,0.00031028246,0.00008276422,0.00009583721,0.000007165406],"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":[0.000027232774,0.00001698082,0.0000054031893,0.0000026985822,0.0000039569036,6.0740825e-7,0.00003966311,0.00021272518,0.031014122,0.9520111,0.00020767697,0.01645781],"study_design_scores_gemma":[0.0002920863,0.000067299065,0.00022273086,0.000013672718,0.000008975526,4.28746e-7,0.0000074262402,0.9506295,0.023958027,0.024557259,0.00014116676,0.00010146603],"about_ca_topic_score_codex":0.0000013982865,"about_ca_topic_score_gemma":0.0000011288338,"teacher_disagreement_score":0.95041674,"about_ca_system_score_codex":0.000030966643,"about_ca_system_score_gemma":0.00009617691,"threshold_uncertainty_score":0.32538018},"labels":[],"label_agreement":null},{"id":"W4408120681","doi":"10.54254/2753-8818/2025.21262","title":"The Psychological Effects of Sport-related Concussion on Rehabilitation Adherence and Motor Learning Outcomes: A Systematic Review and Meta-analysis","year":2025,"lang":"en","type":"review","venue":"Theoretical and Natural Science","topic":"Traumatic Brain Injury Research","field":"Medicine","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":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Concussion; Meta-analysis; Rehabilitation; Psychology; Physical medicine and rehabilitation; Clinical psychology; Medicine; Physical therapy; Injury prevention; Medical emergency; Poison control; Neuroscience; Internal medicine","score_opus":0.042445290041979764,"score_gpt":0.4273237260861809,"score_spread":0.38487843604420113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408120681","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011499589,0.9945927,0.000002271847,0.0008538775,0.000028098973,0.0032034374,0.0000032289108,0.00001743574,0.00014898423],"genre_scores_gemma":[0.09880452,0.9003694,0.00011392615,0.00012038929,0.0000021392975,0.00016848823,0.0000029683645,0.000005172343,0.00041297622],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99719733,0.00054544443,0.00079746824,0.00055421115,0.0006552749,0.00025027266],"domain_scores_gemma":[0.9904385,0.008552207,0.00030088893,0.0004032968,0.00013471759,0.0001703942],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.004128063,0.00026981693,0.0038181446,0.00022109794,0.00021493068,0.00004635891,0.0002556331,0.00014309428,0.000043419448],"category_scores_gemma":[0.011677088,0.00009490235,0.0005257466,0.0014445339,0.0038259148,0.000044477303,0.00015433588,0.0007141861,0.0000027331098],"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":[0.000038758317,0.000049073697,0.000020599453,0.82615584,0.005494701,0.000006696709,0.000055020646,1.0329523e-8,0.0000021775022,0.13163725,0.000004264786,0.036535636],"study_design_scores_gemma":[0.0005850807,0.003338453,0.0024342276,0.22702682,0.75933325,0.000108562475,0.000060651728,0.00016087534,0.0000020057144,0.006180663,0.0003200601,0.00044932356],"about_ca_topic_score_codex":0.0000018708744,"about_ca_topic_score_gemma":1.606778e-7,"teacher_disagreement_score":0.7538386,"about_ca_system_score_codex":0.000029700303,"about_ca_system_score_gemma":0.00006925158,"threshold_uncertainty_score":0.9988851},"labels":[],"label_agreement":null},{"id":"W4408417098","doi":"10.54254/2753-8818/2025.21435","title":"Advancements in CRISPR Technologies and Treatment of Genetic Disorders","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","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":"CRISPR; Biology; Computational biology; Computer science; Data science; Genetics; Gene","score_opus":0.0019417537721882893,"score_gpt":0.28257107617936433,"score_spread":0.28062932240717603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408417098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990985,0.00735628,0.00097143615,0.0002223957,0.00004177617,0.000078431156,9.65266e-7,0.0000053363633,0.0003384027],"genre_scores_gemma":[0.9959412,0.0032027706,0.00080736715,0.000012614726,0.0000031191057,0.0000047266935,5.342707e-7,0.0000013152463,0.000026358706],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99958223,0.000004877529,0.00007313729,0.00017137814,0.000045488927,0.00012290584],"domain_scores_gemma":[0.99986756,0.00000992388,0.0000081745475,0.000086740685,0.000010775708,0.000016851478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048701688,0.000058234134,0.000066525565,0.000052436895,0.0000293975,0.0000062161766,0.00007295938,0.000029718949,0.0000012252467],"category_scores_gemma":[0.000048814032,0.0000415894,0.0000099356075,0.00015045352,0.0009257761,0.0000020596078,0.00007963757,0.000022363647,7.51512e-8],"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":[0.00005793254,0.000051047336,0.032019176,0.000018695991,0.0000066995412,6.622659e-7,0.000050198003,0.000029987978,0.50241137,0.049688805,0.000003485429,0.41566193],"study_design_scores_gemma":[0.0008786396,0.0005795728,0.21193515,0.000036877133,0.0000126006125,0.000003980828,0.00033999095,0.0014557041,0.75563884,0.027463589,0.001475639,0.00017941487],"about_ca_topic_score_codex":0.000006648495,"about_ca_topic_score_gemma":0.000013016261,"teacher_disagreement_score":0.41548252,"about_ca_system_score_codex":0.0000056339786,"about_ca_system_score_gemma":0.000015683565,"threshold_uncertainty_score":0.34110606},"labels":[],"label_agreement":null},{"id":"W4408992375","doi":"10.54254/2753-8818/2025.21678","title":"A Review of the Obsessive-compulsive Disorder","year":2025,"lang":"en","type":"review","venue":"Theoretical and Natural Science","topic":"Obsessive-Compulsive Spectrum Disorders","field":"Psychology","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 Calgary","funders":"","keywords":"Obsessive compulsive; Psychology; Psychoanalysis; Psychotherapist; Psychiatry","score_opus":0.008637737628772967,"score_gpt":0.3414193496437987,"score_spread":0.33278161201502576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408992375","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000014877919,0.9770563,0.00001192703,0.000683667,0.0014331287,0.0012201088,0.00004217266,0.000027239756,0.019510552],"genre_scores_gemma":[0.0010914911,0.9972483,0.000041073585,0.00089093717,0.000048266582,0.00006167131,0.0000072891653,0.000016585349,0.0005944029],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.996879,0.0005316157,0.00065637514,0.00085048756,0.000491255,0.00059127546],"domain_scores_gemma":[0.9973287,0.001036129,0.00046060918,0.0008633185,0.00018136564,0.00012984971],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000655992,0.00046302078,0.0015751488,0.00017918745,0.00029066543,0.000035991325,0.0019389067,0.00017846886,0.00085740164],"category_scores_gemma":[0.0013308119,0.0002310732,0.00053431175,0.0021737032,0.008690202,0.000080744045,0.00091234385,0.00085594057,0.000046926634],"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":[0.0000040494165,0.000033979533,0.00000553442,0.019356498,0.000028290857,0.0000018792891,0.000039941013,6.75603e-9,2.374704e-7,0.4501788,0.00030143815,0.5300494],"study_design_scores_gemma":[0.00037622527,0.00009529134,0.0004104388,0.25863025,0.0011676007,0.00009313611,0.00008228268,0.000005648687,0.0000024814024,0.032328714,0.70606554,0.0007423795],"about_ca_topic_score_codex":0.000020407557,"about_ca_topic_score_gemma":0.0000020463606,"teacher_disagreement_score":0.7057641,"about_ca_system_score_codex":0.000061158564,"about_ca_system_score_gemma":0.00057500665,"threshold_uncertainty_score":0.9940076},"labels":[],"label_agreement":null},{"id":"W4409549920","doi":"10.54254/2753-8818/2025.22036","title":"Bayesian Inference for Dynamic Demand Forecasting and Inventory Optimization","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","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":"Inference; Bayesian inference; Bayesian probability; Demand forecasting; Computer science; Dynamic Bayesian network; Econometrics; Economics; Artificial intelligence; Operations management","score_opus":0.030257926530768947,"score_gpt":0.37191283011836784,"score_spread":0.34165490358759887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409549920","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16469021,0.00021752265,0.8297677,0.0022573543,0.00009612605,0.00031762957,0.000005043627,0.00005440436,0.002593978],"genre_scores_gemma":[0.96066934,0.000019881309,0.03893112,0.00018814854,0.000008755504,0.000019269408,0.000001070833,0.0000022102881,0.00016019735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988399,0.000027503063,0.00022928798,0.00040186473,0.00028656327,0.00021488716],"domain_scores_gemma":[0.9985141,0.00095578714,0.00006084385,0.00017359649,0.00020376746,0.00009189163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020138398,0.000082510356,0.00011989195,0.0001650755,0.00052110775,0.00026098298,0.00037518085,0.000041695715,0.000018391078],"category_scores_gemma":[0.0039346516,0.000053463737,0.000022891838,0.00085706305,0.0021426168,0.00022023036,0.00024458722,0.0000919025,6.112791e-7],"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":[0.000013841278,0.0000067482797,0.0005853867,0.000005399937,8.534107e-7,1.3417662e-7,0.000046151483,0.00013241118,0.00046971542,0.93653846,0.000047939073,0.06215299],"study_design_scores_gemma":[0.00005656297,0.000021313936,0.00047427628,0.000018448412,0.0000032208854,0.0000023820942,0.000022773515,0.5533107,0.00022244078,0.4457247,0.000099459765,0.000043726643],"about_ca_topic_score_codex":0.0000032177534,"about_ca_topic_score_gemma":0.0000035642202,"teacher_disagreement_score":0.79597914,"about_ca_system_score_codex":0.000019109559,"about_ca_system_score_gemma":0.0000660111,"threshold_uncertainty_score":0.78945607},"labels":[],"label_agreement":null},{"id":"W4410416953","doi":"10.54254/2753-8818/2025.22733","title":"Sentiment Analysis Applied on Tweets","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Sentiment Analysis and Opinion Mining","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":"Sentiment analysis; Computer science; Information retrieval; Data science; Natural language processing; World Wide Web","score_opus":0.0037776055262624527,"score_gpt":0.2581465589642757,"score_spread":0.25436895343801325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410416953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7458365,0.00043521513,0.12056906,0.008741412,0.0007714253,0.0002547171,0.0000010884401,0.00021154106,0.12317903],"genre_scores_gemma":[0.99667805,0.0000067744845,0.0020632027,0.00094270776,0.0000129218615,0.0000024148358,6.519161e-7,9.155066e-7,0.0002923384],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868906,0.000023355962,0.00014375585,0.00047994216,0.00039892294,0.00026497297],"domain_scores_gemma":[0.99940586,0.000116897565,0.00003112411,0.0003090295,0.00004183935,0.000095235504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061132194,0.00009802761,0.0001641583,0.00040664992,0.00029218447,0.0002586196,0.0006545904,0.000023582934,0.000052214506],"category_scores_gemma":[0.000032839205,0.000065147025,0.000072416,0.0032377145,0.00072414475,0.00013430089,0.00035131065,0.000103251885,0.000021181908],"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":[0.000005297363,0.00001810231,0.00044016138,0.0000010121333,0.000036513247,7.585378e-7,0.000050969204,0.000025692994,0.001530658,0.98263955,0.0000380485,0.015213259],"study_design_scores_gemma":[0.0007113453,0.00013612147,0.084460855,0.00004408033,0.00035608473,0.000002617875,0.00010753816,0.5508318,0.060421515,0.3011566,0.0011690164,0.00060240267],"about_ca_topic_score_codex":0.0000022124414,"about_ca_topic_score_gemma":3.5835154e-7,"teacher_disagreement_score":0.6814829,"about_ca_system_score_codex":0.00002405442,"about_ca_system_score_gemma":0.000034433346,"threshold_uncertainty_score":0.26681417},"labels":[],"label_agreement":null},{"id":"W4410418511","doi":"10.54254/2753-8818/2025.au22960","title":"Comparative Insights on Traditional and Genetic Vaccines: Past Progress and Future Outlook","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","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":"Queen's University","funders":"","keywords":"Computational biology; Engineering ethics; Biology; Engineering","score_opus":0.01936159889841167,"score_gpt":0.33286357547404255,"score_spread":0.3135019765756309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410418511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887216,0.0037720774,0.000010745089,0.004105871,0.0000863153,0.00022541577,0.000002115388,0.00001691093,0.003058926],"genre_scores_gemma":[0.9922429,0.00002519116,0.0001541644,0.007401414,0.00015244061,0.000009209636,6.3280476e-7,0.000002008172,0.000012070779],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990627,0.000025564334,0.000093354865,0.0003153927,0.000300904,0.00020205759],"domain_scores_gemma":[0.99959576,0.00014932746,0.000012573293,0.000088027955,0.000080792124,0.00007353873],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00011877678,0.00010321423,0.00016883394,0.0001174083,0.00021280583,0.00006385056,0.00008799189,0.00004603137,0.0000067530214],"category_scores_gemma":[0.00003437587,0.00005911315,0.00001532273,0.00036556766,0.0028372607,0.00006958252,0.00005690684,0.00022769421,0.0000025463444],"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":[0.00055491546,0.00010426067,0.010681108,0.00006139401,0.000014564637,0.000033582564,0.00055523694,1.42121594e-8,0.013842597,0.9518228,0.00008517978,0.022244316],"study_design_scores_gemma":[0.002111821,0.0010905577,0.8179573,0.00020996935,0.00004855057,0.00016274882,0.00042678489,0.0028783227,0.0410061,0.12759662,0.006267878,0.00024333438],"about_ca_topic_score_codex":0.0000014176442,"about_ca_topic_score_gemma":9.014926e-7,"teacher_disagreement_score":0.8242262,"about_ca_system_score_codex":0.000018981335,"about_ca_system_score_gemma":0.000098953125,"threshold_uncertainty_score":0.99987644},"labels":[],"label_agreement":null},{"id":"W4411457032","doi":"10.54254/2753-8818/2025.24202","title":"The Role of Adult Hippocampal Neurogenesis in Alzheimer's Disease: Mechanisms, Therapeutic Potential, and Future Directions","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Neurogenesis and neuroplasticity mechanisms","field":"Neuroscience","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":"McMaster University","funders":"","keywords":"Neurogenesis; Dentate gyrus; Neuroscience; Hippocampal formation; Neural stem cell; Disease; Hippocampus; Psychology; Alzheimer's disease; Progenitor cell; Stem cell; Medicine; Biology; Pathology; Cell biology","score_opus":0.0046801253386508585,"score_gpt":0.23332077149712363,"score_spread":0.22864064615847277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411457032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99097407,0.005123359,0.000071018825,0.0026537236,0.00061278115,0.00025687105,0.00000952298,0.000038163933,0.00026050207],"genre_scores_gemma":[0.99567,0.0035081655,0.000030684787,0.0007398789,0.00002519521,0.000011173576,1.2373174e-7,0.0000065801855,0.000008186566],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984409,0.00018250982,0.00019504201,0.00048861105,0.00034828432,0.00034465044],"domain_scores_gemma":[0.999095,0.00045985656,0.00004654548,0.00020313782,0.000053966487,0.00014149921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023738464,0.0001480419,0.00014423819,0.00011820994,0.0006201284,0.00010452484,0.00036661496,0.000034078555,0.0000088088345],"category_scores_gemma":[0.00029125862,0.00009017811,0.000041128464,0.0008810087,0.002065672,0.00012346914,0.0002276567,0.00017466958,0.000001193904],"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":[0.00006802774,0.000021849193,0.00003509369,0.000002215516,0.0000012715244,0.000003920469,0.000011900772,5.280581e-7,0.37711892,0.5974513,3.6076483e-7,0.025284575],"study_design_scores_gemma":[0.0001700347,0.00006561399,0.0058808294,0.0000141834325,0.000043556596,0.000020484986,0.000063751315,0.005923832,0.7709786,0.21630816,0.00041860345,0.00011230499],"about_ca_topic_score_codex":0.000004705186,"about_ca_topic_score_gemma":0.0000026059051,"teacher_disagreement_score":0.39385974,"about_ca_system_score_codex":0.000007238314,"about_ca_system_score_gemma":0.000073767376,"threshold_uncertainty_score":0.7611055},"labels":[],"label_agreement":null},{"id":"W4411491205","doi":"10.54254/2753-8818/2025.24207","title":"Impact of High-Fat Diet on Obesity-Related Diseases: The Role of Gut Microbiota-Derived Short-Chain Fatty Acids","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","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":"Gut flora; Butyrate; Intestinal permeability; Disease; Obesity; Biology; Propionate; Probiotic; Fatty liver; Prebiotic; Flora (microbiology); Diabetes mellitus; Bioinformatics; Physiology; Medicine; Immunology; Endocrinology; Internal medicine; Biochemistry; Bacteria","score_opus":0.0022721886550408268,"score_gpt":0.2527977080611387,"score_spread":0.2505255194060979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411491205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978051,0.0011575553,0.000016970445,0.00022813004,0.000079309764,0.00016243749,0.00005005244,0.000005248762,0.0004951995],"genre_scores_gemma":[0.9996254,0.00013348392,0.000046314843,0.00011319428,0.00001713314,0.0000016128607,0.00001639234,0.000003552839,0.000042955326],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991038,0.00006578298,0.0001826203,0.0002838999,0.000105642794,0.0002582793],"domain_scores_gemma":[0.9994786,0.000043477212,0.00004419235,0.00026282785,0.00008603468,0.00008487454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022850487,0.00012312092,0.0001757346,0.00003988573,0.00015410267,0.00001525377,0.0003307706,0.00008697455,0.000030963023],"category_scores_gemma":[0.00010893055,0.000067332745,0.00009478646,0.00028507545,0.00258219,0.0000045823326,0.00020891655,0.00013446333,0.0000013582378],"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":[0.00029085318,0.00007080874,0.0047343937,0.000011482926,0.000018401302,2.6815994e-7,0.000034545003,0.000004578605,0.91534084,0.078327745,0.000036103545,0.0011299527],"study_design_scores_gemma":[0.00031973192,0.0007588293,0.49456844,0.00005461962,0.00003320586,0.0000033328065,0.000056313907,0.00014820576,0.48880067,0.01508288,0.000046267814,0.00012749976],"about_ca_topic_score_codex":0.00003433724,"about_ca_topic_score_gemma":0.0000029358664,"teacher_disagreement_score":0.48983404,"about_ca_system_score_codex":0.000017930937,"about_ca_system_score_gemma":0.00013021842,"threshold_uncertainty_score":0.9514187},"labels":[],"label_agreement":null},{"id":"W4412495013","doi":"10.54254/2753-8818/2025.au24901","title":"Recent Advances in Prevention and Control Strategies for Bovine Respiratory Disease","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","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 Guelph","funders":"","keywords":"Bovine respiratory disease; Disease control; Control (management); Respiratory system; Disease prevention; Medicine; Intensive care medicine; Computer science; Environmental health; Immunology; Internal medicine; Artificial intelligence","score_opus":0.0064788788268118425,"score_gpt":0.31700964611703664,"score_spread":0.3105307672902248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412495013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.893886,0.10218257,0.00089783914,0.0012425615,0.0002076352,0.00043436215,0.000019992236,0.000019078976,0.0011099485],"genre_scores_gemma":[0.9978282,0.0018442796,0.00001047884,0.00018175131,0.00000603421,0.000020155358,0.0000026216974,0.0000010665691,0.000105416126],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994382,0.000061823295,0.000090857786,0.00019418781,0.000021332144,0.00019357396],"domain_scores_gemma":[0.99970347,0.0001322527,0.000012198946,0.000059425918,0.000058229518,0.000034444292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041519158,0.00005400213,0.00008195039,0.000093361334,0.00021753361,0.000036874764,0.00006556394,0.00003095279,0.00007007072],"category_scores_gemma":[0.00023456688,0.000037357757,0.000015335849,0.00020580633,0.0018571201,0.00018636978,0.000047482314,0.00009333462,0.0000018115652],"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":[0.0006337305,0.000044905464,0.0007257899,0.00002885582,0.0000032580067,4.8947726e-7,0.000010098745,6.255777e-7,0.09838831,0.8220568,0.000033792872,0.07807337],"study_design_scores_gemma":[0.0043336092,0.0005374717,0.044935334,0.00019947313,0.000048813483,0.0000047965727,0.00027898478,0.00034110676,0.013866951,0.87320626,0.061974242,0.00027295118],"about_ca_topic_score_codex":0.0000021730498,"about_ca_topic_score_gemma":0.000009980313,"teacher_disagreement_score":0.10394218,"about_ca_system_score_codex":0.000015930342,"about_ca_system_score_gemma":0.00018361399,"threshold_uncertainty_score":0.68426365},"labels":[],"label_agreement":null},{"id":"W4412495286","doi":"10.54254/2753-8818/2025.ld25196","title":"Diterpenoids from Isodon Serra with Inhibitory Activity Against Xanthomonas Oryzae Pathovar Oryzae","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Plant Pathogenic Bacteria Studies","field":"Agricultural and Biological Sciences","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":"Pathovar; Xanthomonas oryzae pv. oryzae; Xanthomonas oryzae; Biology; Traditional medicine; Chemistry; Microbiology; Bacteria; Medicine; Pseudomonas; Pseudomonadaceae","score_opus":0.0030750057484696756,"score_gpt":0.18981934364406097,"score_spread":0.1867443378955913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412495286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99318624,0.00036427678,0.000011898417,0.0025298276,0.00029374743,0.00017821272,0.00010270955,0.00008896827,0.003244118],"genre_scores_gemma":[0.99887115,0.00011578177,0.00017732082,0.00054550223,0.00012682856,0.000009379446,0.000013544192,9.3526774e-7,0.00013956182],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99824756,0.000104721155,0.00014278464,0.0006493636,0.00036527347,0.0004903015],"domain_scores_gemma":[0.9991574,0.00043910078,0.000058560425,0.00010135259,0.000084967294,0.0001585629],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004655855,0.00023352548,0.00027320758,0.000026384701,0.0006558633,0.00014448968,0.0004491895,0.00009298048,0.000076007214],"category_scores_gemma":[0.00014355504,0.00007813822,0.000041525505,0.00075364887,0.0027542338,0.00032190006,0.00041191565,0.00029276888,0.000012711168],"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":[0.00023730593,0.000044711694,0.0023891404,0.000004692743,0.000009403196,0.00001429661,0.000051959643,1.2146404e-7,0.9007059,0.015575249,0.000054136646,0.08091313],"study_design_scores_gemma":[0.00034331012,0.00030144406,0.89561325,0.00016700319,0.00003808981,0.0000139656095,0.00018027573,0.00031920386,0.09025477,0.008851981,0.0034081652,0.000508544],"about_ca_topic_score_codex":0.000054726817,"about_ca_topic_score_gemma":0.00010710399,"teacher_disagreement_score":0.8932241,"about_ca_system_score_codex":0.00003987868,"about_ca_system_score_gemma":0.00004092655,"threshold_uncertainty_score":0.9999597},"labels":[],"label_agreement":null},{"id":"W4412634700","doi":"10.54254/2753-8818/2025.25474","title":"An Improved PBFT Consensus Algorithm Based on the Raft Voting Mechanism and DAG Ledger Structure","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Cloud Computing and Resource Management","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":"Distributed ledger; Consensus algorithm; Mechanism (biology); Raft; Voting; Computer science; Algorithm; Majority rule; Blockchain; Artificial intelligence; Political science; Computer security; Chemistry; Philosophy; Epistemology; Law","score_opus":0.002980735233780177,"score_gpt":0.22264027380601845,"score_spread":0.21965953857223827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412634700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8789696,0.00012502556,0.10012703,0.018392038,0.0005945157,0.00030400048,0.000002254893,0.0001592051,0.0013262959],"genre_scores_gemma":[0.9873594,6.7768946e-7,0.010318903,0.002227864,0.000035115027,0.000001486462,1.8299535e-7,0.0000025416427,0.000053805998],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862915,0.00010678254,0.00012358143,0.00052339653,0.0002807591,0.0003363553],"domain_scores_gemma":[0.9990282,0.00041338327,0.000035464374,0.00035182468,0.000060479175,0.00011061979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009707661,0.00013969347,0.000116930656,0.00008891249,0.0007251506,0.00037709408,0.00080987485,0.000041756717,0.000006360997],"category_scores_gemma":[0.0001560858,0.00007375416,0.000023427127,0.0005616011,0.0014513602,0.000025040452,0.0004916623,0.00026798405,8.4047406e-7],"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":[0.0000057456805,0.00001088043,0.000007787623,0.000004262286,0.0000022563024,0.0000028074248,0.00008271051,0.00005196202,0.0034134907,0.903195,0.00001126921,0.093211785],"study_design_scores_gemma":[0.00016100172,0.00007547155,0.0006877491,0.000026815796,0.0000049833457,0.0000052781434,0.000037518566,0.8474244,0.0024917703,0.14894927,0.000035793535,0.0000999686],"about_ca_topic_score_codex":0.00000775139,"about_ca_topic_score_gemma":8.208997e-7,"teacher_disagreement_score":0.8473724,"about_ca_system_score_codex":0.000018660137,"about_ca_system_score_gemma":0.000054010463,"threshold_uncertainty_score":0.55773455},"labels":[],"label_agreement":null},{"id":"W4413028105","doi":"10.54254/2753-8818/2025.au25836","title":"COVID-19 and Its Impact on Mental Health Across All Age Groups","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"COVID-19 and Mental Health","field":"Psychology","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":"Coronavirus disease 2019 (COVID-19); Mental health; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychology; Age groups; Demography; Gerontology; Medicine; Psychiatry; Virology; Sociology","score_opus":0.028190374469069784,"score_gpt":0.4834133066768157,"score_spread":0.4552229322077459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413028105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9748379,0.0020463376,0.000018713363,0.019204222,0.00056168635,0.00033229875,0.000049588216,0.00004475632,0.0029044976],"genre_scores_gemma":[0.9679111,0.00018398161,0.00001438003,0.031410202,0.000029049732,0.0000056301233,0.0000058008072,0.000003527752,0.00043631563],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983929,0.00010178947,0.00016568702,0.00047237115,0.00022190883,0.0006453496],"domain_scores_gemma":[0.9987394,0.00028688097,0.000034204095,0.00014946064,0.000012601553,0.0007774536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011815408,0.00014112632,0.00018356026,0.00007519492,0.0005756771,0.00005590883,0.00021546858,0.000053761883,0.00023641471],"category_scores_gemma":[0.0001648955,0.00008924782,0.000033634013,0.00037894957,0.0017836501,0.00008188582,0.00018820759,0.00024870224,0.000021398488],"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":[0.00046239898,0.00007696283,0.00080561783,0.000057310925,0.000006379329,0.000011958336,0.0030559488,1.5302123e-7,0.0007243088,0.977096,0.00070908596,0.01699383],"study_design_scores_gemma":[0.008555821,0.005745425,0.60402054,0.00031946748,0.00003246394,0.00032859386,0.004526861,0.0020923717,0.0015554139,0.32859212,0.04299885,0.0012320745],"about_ca_topic_score_codex":0.00039173127,"about_ca_topic_score_gemma":0.000041106807,"teacher_disagreement_score":0.6485039,"about_ca_system_score_codex":0.00042046333,"about_ca_system_score_gemma":0.00044840432,"threshold_uncertainty_score":0.6571933},"labels":[],"label_agreement":null},{"id":"W4413181756","doi":"10.54254/2753-8818/2025.ld25936","title":"Brain-Computer Interface in the Treatment of Stroke","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","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":"Brain–computer interface; Interface (matter); Stroke (engine); Physical medicine and rehabilitation; Computer science; Medicine; Neuroscience; Psychology; Operating system; Engineering; Electroencephalography","score_opus":0.009390377566998655,"score_gpt":0.2870194523470882,"score_spread":0.2776290747800895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413181756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98982984,0.00020651947,0.0005516212,0.005490475,0.00028453246,0.00014860762,0.00000277331,0.000014478033,0.0034711699],"genre_scores_gemma":[0.9982513,0.000038616963,0.0001993129,0.0012887006,0.000022906892,0.0000031672248,6.7238815e-8,0.0000014460122,0.0001944526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989702,0.00010159806,0.00015181773,0.00032010957,0.00021402344,0.00024224042],"domain_scores_gemma":[0.9988046,0.00094372383,0.000025032572,0.00017387634,0.000018636314,0.000034096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000339045,0.00009924283,0.00013113653,0.00010530435,0.00010664055,0.000077344404,0.00053934014,0.000024369141,0.0000148761665],"category_scores_gemma":[0.00012515979,0.000048310492,0.000034677872,0.0005411171,0.0025855515,0.00010674613,0.000103762985,0.00010514077,0.0000029687933],"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":[0.00005066517,0.00013638283,0.00023968182,0.0000070275846,0.0000013840253,0.0000050503004,0.0013034983,0.000008840621,0.17420486,0.7681762,0.00006243514,0.055803984],"study_design_scores_gemma":[0.0005660199,0.0007498749,0.006680806,0.00006273421,0.0000058726464,0.000023751822,0.00013691257,0.016152184,0.9319193,0.041252483,0.0023171683,0.00013292325],"about_ca_topic_score_codex":0.000008271914,"about_ca_topic_score_gemma":0.0000025466015,"teacher_disagreement_score":0.7577144,"about_ca_system_score_codex":0.000023303955,"about_ca_system_score_gemma":0.00003342927,"threshold_uncertainty_score":0.9526572},"labels":[],"label_agreement":null},{"id":"W4413230139","doi":"10.54254/2753-8818/2025.20035","title":"The Role of Mushroom Polysaccharides in Cancer Prevention and Therapy","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Fungal Biology and Applications","field":"Medicine","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":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Immune system; Mushroom; Cancer; Polysaccharide; Biology; Dysbiosis; Cancer research; Apoptosis; Tumor microenvironment; Gut flora; Gastrointestinal tract; Immunology; Biochemistry; Food science","score_opus":0.004439204488226646,"score_gpt":0.3055453515686899,"score_spread":0.30110614708046324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413230139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98342896,0.011336031,0.0000031352456,0.003999904,0.000021446276,0.000096081836,5.782667e-7,0.0000033602626,0.0011105015],"genre_scores_gemma":[0.997767,0.0019643835,0.000033518736,0.00014049478,0.000006115212,0.000007937365,1.6070608e-7,4.2985795e-7,0.00007997338],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99972916,0.000011163868,0.00005674,0.00008672298,0.000042895368,0.00007331731],"domain_scores_gemma":[0.9998009,0.00009993,0.0000101196865,0.000049595157,0.000020546438,0.000018890283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022473665,0.000025917678,0.000050045554,0.000022377868,0.00009280093,0.0000052477553,0.00004889029,0.00001952453,0.000009852436],"category_scores_gemma":[0.000057556303,0.000012426658,0.0000075615,0.00020707636,0.0017803676,0.000020745136,0.00002709046,0.000071894756,1.8671014e-7],"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":[0.00006000544,0.000010986286,0.010383654,0.0000018227508,0.000001534447,4.556991e-8,0.000028238503,1.8803496e-8,0.18245612,0.67372036,0.0000014762778,0.13333574],"study_design_scores_gemma":[0.0002938242,0.00008321154,0.33684403,0.000055787157,0.000007239785,0.0000025655486,0.00010739638,0.0006296607,0.17569014,0.48571026,0.00054394524,0.00003193363],"about_ca_topic_score_codex":0.000023324437,"about_ca_topic_score_gemma":0.0000065415215,"teacher_disagreement_score":0.3264604,"about_ca_system_score_codex":0.00000471762,"about_ca_system_score_gemma":0.000042590327,"threshold_uncertainty_score":0.65598387},"labels":[],"label_agreement":null},{"id":"W4413343069","doi":"10.54254/2753-8818/2025.ld26075","title":"Research Progress in the Application of Immune Checkpoint Inhibitors for Renal Cell Carcinoma","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Renal cell carcinoma treatment","field":"Medicine","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":"Simon Fraser University","funders":"","keywords":"Renal cell carcinoma; Cancer research; Immune checkpoint; Medicine; Immune system; Oncology; Immunotherapy; Immunology","score_opus":0.013419946279821824,"score_gpt":0.32787189541000755,"score_spread":0.3144519491301857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413343069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909107,0.002230617,0.00005169359,0.0030907874,0.00002946753,0.00083024974,0.0000010647126,0.000004613287,0.0028508236],"genre_scores_gemma":[0.9993746,0.000008710989,0.00041473354,0.000037911253,0.000022745155,0.0000858433,0.0000023543262,0.0000022046324,0.000050847848],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988662,0.000059494458,0.00020376172,0.00023087839,0.00039073045,0.00024891092],"domain_scores_gemma":[0.9992741,0.00027015523,0.000028501026,0.00020719979,0.0001731578,0.0000468965],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0022328938,0.00006522611,0.0001304766,0.00015370663,0.00011798019,0.000017500537,0.00019597169,0.000035647176,0.0000028909208],"category_scores_gemma":[0.00011485658,0.000033026583,0.000043377975,0.0009106367,0.0030812493,0.000035943107,0.000090334535,0.000205594,8.9521933e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074151956,0.00024924884,0.013326406,0.00021156708,0.00000329132,0.0000064578608,0.0005649823,2.819504e-7,0.24337421,0.7108832,0.000022320275,0.030616537],"study_design_scores_gemma":[0.00081665243,0.0004913781,0.30456513,0.00006424069,0.000018938154,0.000009634397,0.00031176145,0.0015049161,0.6649017,0.027189627,0.00007809307,0.000047958103],"about_ca_topic_score_codex":0.00002725444,"about_ca_topic_score_gemma":0.0000014324067,"teacher_disagreement_score":0.6836935,"about_ca_system_score_codex":0.00006247852,"about_ca_system_score_gemma":0.00013830236,"threshold_uncertainty_score":0.9996318},"labels":[],"label_agreement":null},{"id":"W4413363624","doi":"10.54254/2753-8818/2025.ad26062","title":"Two Dimensional CFD Simulation of Optimizing Lift to Drag Ratio of Flapping Tandem NACA 0012 Airfoils","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Biomimetic flight and propulsion mechanisms","field":"Engineering","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 Toronto","funders":"","keywords":"NACA airfoil; Airfoil; Lift-to-drag ratio; Aerospace engineering; Computational fluid dynamics; Drag; Lift (data mining); Aerodynamics; Mechanics; Lift-induced drag; Marine engineering; Environmental science; Physics; Computer science; Engineering; Reynolds number; Turbulence","score_opus":0.004907707302208793,"score_gpt":0.2500114927463055,"score_spread":0.24510378544409672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413363624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9626208,0.0003594489,0.033938807,0.0003497891,0.00042504657,0.00016012556,0.000002230828,0.0000428104,0.0021009236],"genre_scores_gemma":[0.9914907,0.0000048953493,0.008380185,0.00007478839,0.000015630507,0.0000013682808,7.2243944e-7,0.0000029743267,0.000028715654],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992515,0.000016808563,0.00019552158,0.00014424704,0.00022393152,0.0001679964],"domain_scores_gemma":[0.9995724,0.00016504448,0.000019808176,0.00009124444,0.000079048026,0.00007245929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004036716,0.00008066481,0.00014562876,0.00012005546,0.00008370806,0.000016151424,0.00013740941,0.00003987172,0.00005391934],"category_scores_gemma":[0.000115585906,0.00005844954,0.000025930767,0.0005486043,0.00040563568,0.00009277231,0.00008878236,0.000094468516,0.0000019860788],"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":[0.000023879313,0.00000628394,0.00001556022,0.000025035504,0.0000043188397,2.945041e-7,0.00010181865,0.02712066,0.54155153,0.41976282,0.00000694357,0.011380831],"study_design_scores_gemma":[0.00016270945,0.000035203466,0.00023724926,0.00008955812,0.00000842069,6.7556965e-7,0.000019117659,0.5400637,0.42869985,0.030586706,0.000021239797,0.00007561652],"about_ca_topic_score_codex":0.0000031940838,"about_ca_topic_score_gemma":4.6510243e-7,"teacher_disagreement_score":0.51294297,"about_ca_system_score_codex":0.000015117157,"about_ca_system_score_gemma":0.000025408943,"threshold_uncertainty_score":0.2383503},"labels":[],"label_agreement":null},{"id":"W4414145598","doi":"10.54254/2753-8818/2025.ld26551","title":"CRISPR/Cas9 Applications in T Cell Modifications for Tumor Immunotherapy","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"CAR-T cell therapy research","field":"Medicine","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":"Dalhousie University","funders":"","keywords":"Immunotherapy; T cell; Immune system; Cancer immunotherapy; T-cell receptor; Cell; Cytokine; Function (biology)","score_opus":0.011052386314404947,"score_gpt":0.3438042944885486,"score_spread":0.33275190817414363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414145598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94078106,0.0021094196,0.007563725,0.00972901,0.000104071,0.002266507,0.000012571731,0.00005994738,0.037373662],"genre_scores_gemma":[0.99560165,0.00009865893,0.0011497498,0.00047948587,0.00002166625,0.00014779791,0.000003175861,0.000004420387,0.0024933938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991237,0.000017483982,0.0001333262,0.00027096935,0.0001850854,0.00026944475],"domain_scores_gemma":[0.99928164,0.00027788364,0.000014271352,0.00022826968,0.00011311405,0.00008479465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000500336,0.00007321898,0.00012762638,0.00017347293,0.00018668291,0.000037376067,0.00020007115,0.000028723738,0.00017744623],"category_scores_gemma":[0.000105114676,0.000050732655,0.000037207035,0.00087055395,0.0016672055,0.0000542837,0.000046284324,0.00018085132,0.0000044077237],"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":[0.00014604487,0.000077367484,0.00033988903,0.000021248825,0.000002038453,4.1411582e-7,0.000072144874,4.0916467e-7,0.3774441,0.60819614,0.000034921082,0.013665295],"study_design_scores_gemma":[0.004032361,0.00038066859,0.045568995,0.00010109529,0.000036615376,0.000019887406,0.0005803154,0.020126104,0.47165933,0.42756185,0.029583864,0.00034891872],"about_ca_topic_score_codex":0.000012904146,"about_ca_topic_score_gemma":0.0000017464483,"teacher_disagreement_score":0.18063429,"about_ca_system_score_codex":0.000062366205,"about_ca_system_score_gemma":0.00017874937,"threshold_uncertainty_score":0.6142888},"labels":[],"label_agreement":null},{"id":"W4414239903","doi":"10.54254/2753-8818/2025.au26847","title":"Pathological Mechanism and Targeted Drugs of Systemic Lupus Erythematosus","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","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":"Mechanism (biology); Disease; Systemic lupus erythematosus; Blockade; Adverse effect; Immune system; Lupus erythematosus; Autoimmune disease","score_opus":0.006153648794774708,"score_gpt":0.2758247895872393,"score_spread":0.2696711407924646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414239903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921212,0.0032058572,0.0001764333,0.000773264,0.00022475453,0.0003791331,0.0000026574505,0.000041416955,0.0030752611],"genre_scores_gemma":[0.998704,0.0002238133,0.0004901676,0.00011784703,0.00001712199,0.0000090392405,7.1933636e-7,0.0000044266753,0.00043284585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984023,0.000076430064,0.00026899803,0.00038316415,0.0005133354,0.0003558031],"domain_scores_gemma":[0.9990472,0.00030863966,0.00004419291,0.00023111312,0.00017824389,0.000190564],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012857651,0.00012702598,0.00037846994,0.00018796156,0.00012895264,0.000027145841,0.00019090285,0.00009364742,0.000034718338],"category_scores_gemma":[0.0007502033,0.00007323207,0.00004047819,0.0006499699,0.0035142286,0.00006388065,0.00029564588,0.0002345965,0.000004324315],"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":[0.0001531614,0.000024949442,0.0058557945,0.0003749429,0.000008014883,0.000021399386,0.00045489453,1.9814609e-8,0.13723223,0.8546477,0.000016524582,0.0012103586],"study_design_scores_gemma":[0.005058108,0.00083420327,0.005403753,0.0044364017,0.00016214381,0.05506425,0.0061518243,0.006807403,0.123050086,0.79250896,0.000038395672,0.00048445028],"about_ca_topic_score_codex":0.000004296762,"about_ca_topic_score_gemma":1.2829273e-7,"teacher_disagreement_score":0.062138736,"about_ca_system_score_codex":0.000043000753,"about_ca_system_score_gemma":0.00014849647,"threshold_uncertainty_score":0.99919766},"labels":[],"label_agreement":null},{"id":"W4414239907","doi":"10.54254/2753-8818/2025.au26959","title":"3D Printed Porous Scaffold Polymers Based on Polymerization-Induced Phase Separation and Their Applications in Biomedical Fields","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Pickering emulsions and particle stabilization","field":"Materials 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":"3D printing; 3d printed; Scaffold; Polymer; Porosity; Phase (matter); Characterization (materials science)","score_opus":0.0060802255274285694,"score_gpt":0.29390487659316544,"score_spread":0.28782465106573685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414239907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98537153,0.000050225204,0.012716905,0.00096034823,0.00010251598,0.00019735479,0.0000044557655,0.00003575983,0.0005608977],"genre_scores_gemma":[0.9994693,0.0000035277033,0.00019233896,0.0002746425,0.000011366085,0.000024748133,0.000006270291,0.000002344311,0.000015493151],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99916244,0.000045577104,0.00015381504,0.00029353704,0.00014811056,0.00019652412],"domain_scores_gemma":[0.9995449,0.00016892483,0.000026177006,0.0001376596,0.00003202311,0.00009028114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033668661,0.000088089284,0.000097916,0.00014530092,0.00022516935,0.000070847695,0.0001285886,0.000049688686,0.0000734872],"category_scores_gemma":[0.00015232644,0.0000582554,0.000010044102,0.00075114344,0.00095369,0.00011248847,0.00005712936,0.000075358956,0.0000019637334],"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":[0.00008255847,0.00014650753,0.00020174863,0.00001099385,7.3992396e-7,5.090632e-7,0.0004154004,0.000015000946,0.8113884,0.16197948,0.0000025202178,0.025756173],"study_design_scores_gemma":[0.0012612778,0.00030034946,0.005805302,0.00009368011,0.0000092627615,0.00000302901,0.00042233733,0.38598242,0.5973487,0.008437626,0.00009186261,0.0002441474],"about_ca_topic_score_codex":0.0000194902,"about_ca_topic_score_gemma":0.0000042556167,"teacher_disagreement_score":0.3859674,"about_ca_system_score_codex":0.00002247751,"about_ca_system_score_gemma":0.000079339734,"threshold_uncertainty_score":0.35139105},"labels":[],"label_agreement":null},{"id":"W4414240754","doi":"10.54254/2753-8818/2025.au26855","title":"Targeting Chorea in Huntington’s Disease: Emerging Therapeutic Strategies","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","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":"Choreiform movement; Chorea; Huntingtin; Disease; Genetic enhancement; Huntington's disease; Huntingtin Protein; Deep brain stimulation","score_opus":0.00814856132840553,"score_gpt":0.28429434110658003,"score_spread":0.2761457797781745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414240754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99380386,0.00058311084,0.00017588577,0.0017236687,0.00023668581,0.00016721948,0.0000026917508,0.00004858061,0.0032583047],"genre_scores_gemma":[0.99863046,0.000084479725,0.000064822314,0.0011108306,0.00002213699,0.000010719719,4.3078285e-7,0.000004949895,0.00007118302],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983154,0.0001268043,0.0001755221,0.0005927312,0.00033572287,0.00045383873],"domain_scores_gemma":[0.9993666,0.00026991378,0.000029022764,0.0001601401,0.00003900102,0.00013532622],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000342126,0.00014396851,0.00012287102,0.00016430137,0.0003361889,0.00022405785,0.00041338964,0.00001930628,0.000051729734],"category_scores_gemma":[0.0011566123,0.000104949766,0.000028037024,0.0010493983,0.0027502226,0.00028036916,0.00022607014,0.000192703,0.0000053374465],"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":[0.000024586177,0.000019072226,0.0014269303,0.000008768702,3.2295222e-7,0.00000258433,0.000050192175,0.00004241676,0.41442043,0.58147544,0.0000035922787,0.0025256714],"study_design_scores_gemma":[0.00030363398,0.000029406277,0.08733935,0.00006622902,0.000012094927,0.0000010399614,0.0002739205,0.016502868,0.59433985,0.30074897,0.000112695634,0.00026996917],"about_ca_topic_score_codex":0.000004847053,"about_ca_topic_score_gemma":0.0000010870255,"teacher_disagreement_score":0.28072646,"about_ca_system_score_codex":0.000024466759,"about_ca_system_score_gemma":0.00019310121,"threshold_uncertainty_score":0.9999637},"labels":[],"label_agreement":null},{"id":"W4414240964","doi":"10.54254/2753-8818/2025.dl26846","title":"From RNNs to BERT: A Review of Neural Models for Sequence Learning","year":2025,"lang":"en","type":"review","venue":"Theoretical and Natural Science","topic":"Neural Networks and Applications","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":"Recurrent neural network; Transformer; Sequence learning; Artificial neural network; Language model; Sequence (biology); Process (computing)","score_opus":0.0282848952368717,"score_gpt":0.35320163614975225,"score_spread":0.32491674091288053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414240964","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000036104163,0.96232283,0.03487452,0.0012958448,0.00017247451,0.0008935506,0.00002918307,0.00004468061,0.00036329645],"genre_scores_gemma":[0.0010851363,0.98784345,0.010067068,0.0006976447,0.000067348075,0.00011908045,0.000009786974,0.000005630369,0.000104833154],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980422,0.00008160229,0.0004216989,0.0007607124,0.0003235931,0.0003701526],"domain_scores_gemma":[0.9980558,0.0009891936,0.00015003077,0.00045638095,0.00015495664,0.00019363487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006000188,0.00023910197,0.00083363545,0.00009783146,0.0002273736,0.000103211474,0.0018552867,0.000069985974,0.0000071190216],"category_scores_gemma":[0.0003485461,0.000152243,0.00019608362,0.0015946086,0.0007452254,0.00025792522,0.00081654626,0.00033624927,0.0000031006612],"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":[6.489286e-7,0.000003577967,1.3240001e-8,0.002926375,0.0000019668964,3.091659e-7,0.000009032875,0.0000035178844,0.000003889122,0.42485744,0.000058285103,0.572135],"study_design_scores_gemma":[0.00012447797,0.00019008161,0.0000011949478,0.12743582,0.00028107362,0.00002779102,0.0000030457645,0.17707454,0.000027870921,0.30890346,0.38509777,0.0008328863],"about_ca_topic_score_codex":0.00000994666,"about_ca_topic_score_gemma":3.71669e-7,"teacher_disagreement_score":0.57130206,"about_ca_system_score_codex":0.000028898196,"about_ca_system_score_gemma":0.00024810518,"threshold_uncertainty_score":0.6208289},"labels":[],"label_agreement":null},{"id":"W4414476958","doi":"10.54254/2753-8818/2025.au27080","title":"CTNNA3 and MBP Mediate Treatment Resistance Through Tumor Microenvironment Remodeling in Recurrent Glioblastoma","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Signaling Pathways in Disease","field":"Biochemistry, Genetics and Molecular Biology","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":"Milton District Hospital","funders":"","keywords":"Extracellular matrix; Tumor microenvironment; Glioblastoma; Primary tumor; Population; Disease; Brain tumor; Mechanism (biology)","score_opus":0.0038521005102374437,"score_gpt":0.25000562540507454,"score_spread":0.2461535248948371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414476958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99233055,0.0061514946,0.00009087381,0.00072870654,0.00010836092,0.00012933678,0.0000068723257,0.0000065257095,0.00044729235],"genre_scores_gemma":[0.9982266,0.00057940435,0.0007605346,0.0002897699,0.0000250003,0.000009898207,0.0000024930816,0.0000035972764,0.00010274318],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999025,0.0000381121,0.00013348543,0.00043290487,0.00012415151,0.00024635007],"domain_scores_gemma":[0.9996842,0.000029578785,0.000023359053,0.00016674328,0.000016964459,0.000079110825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002281651,0.00011763741,0.00010422247,0.00002894695,0.00010719416,0.000027415692,0.00014360937,0.00003449249,0.0000050527938],"category_scores_gemma":[0.000142583,0.000077940625,0.00002258244,0.00015343323,0.0014103303,0.000006787864,0.00016748036,0.00006899761,9.69679e-7],"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":[0.0012586786,0.0001366196,0.0010125712,0.00003782682,0.0000108873855,0.000018923,0.00020724851,0.000017967057,0.90227723,0.081778444,0.0000620497,0.013181579],"study_design_scores_gemma":[0.0012403129,0.00050564285,0.004148911,0.0002004829,0.00002740928,0.000012206227,0.00009229737,0.0014958807,0.93744296,0.051209178,0.0033042994,0.00032039112],"about_ca_topic_score_codex":0.0000029502228,"about_ca_topic_score_gemma":0.00001558681,"teacher_disagreement_score":0.035165783,"about_ca_system_score_codex":0.000044177657,"about_ca_system_score_gemma":0.00006351854,"threshold_uncertainty_score":0.51964206},"labels":[],"label_agreement":null},{"id":"W4414759253","doi":"10.54254/2753-8818/2025.au27363","title":"Multifunctional Core-Shell Structured Manganese Nanozyme Incorporated Hydrogel for Spinal Cord Injury Microenvironment Reconstruction","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Spinal Cord Injury Research","field":"Medicine","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":"St. Lawrence College","funders":"","keywords":"Oxidative stress; Self-healing hydrogels; Reactive oxygen species; Inflammation; Spinal cord injury; Spinal cord; Regeneration (biology); Viability assay","score_opus":0.0183856485869979,"score_gpt":0.34093746211922543,"score_spread":0.3225518135322275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414759253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967721,0.00027041548,0.00032400634,0.0009397597,0.00050904765,0.0006294278,0.000019610508,0.00003848061,0.0004971135],"genre_scores_gemma":[0.9945747,0.00003298747,0.0042384486,0.00047422797,0.000077111654,0.00002369198,0.000014198176,0.0000069305115,0.0005576531],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99842656,0.000021319167,0.00023627726,0.00049718766,0.00042321807,0.00039545467],"domain_scores_gemma":[0.999295,0.00006538065,0.000051946907,0.00019923001,0.00018037249,0.00020809799],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005155056,0.00016099012,0.00021825542,0.00021750142,0.00034013,0.00004145817,0.000183161,0.000086803215,0.00015789086],"category_scores_gemma":[0.00035893658,0.000113545204,0.00005996856,0.000658695,0.0040316163,0.00012872746,0.00015211987,0.0003235287,0.0000107274545],"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":[0.023310907,0.00004801487,0.0018594079,0.00005817652,0.000015759319,0.000005804779,0.00000399028,2.6097564e-7,0.7254837,0.16267271,0.00010236697,0.08643892],"study_design_scores_gemma":[0.004038386,0.015850954,0.15531614,0.00047718923,0.00018499925,0.00079109054,0.00016774889,0.020317066,0.54654485,0.25359747,0.002105075,0.00060899265],"about_ca_topic_score_codex":0.000009472431,"about_ca_topic_score_gemma":0.0000012855534,"teacher_disagreement_score":0.17893882,"about_ca_system_score_codex":0.00017301817,"about_ca_system_score_gemma":0.00021898387,"threshold_uncertainty_score":0.99867886},"labels":[],"label_agreement":null},{"id":"W4414759255","doi":"10.54254/2753-8818/2025.dl27256","title":"Hybrid Approaches in Weather Forecasting: From Numerical Models to Deep Learning","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","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":"Numerical weather prediction; Deep learning; Weather forecasting; Artificial neural network; Convolutional neural network; Focus (optics); Data assimilation; Weather prediction; Autoencoder","score_opus":0.034301988112531274,"score_gpt":0.22900767788114407,"score_spread":0.1947056897686128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414759255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96218365,0.00034913438,0.006686614,0.00068573595,0.00008201661,0.00010665855,0.0000033355186,0.000022854287,0.029879993],"genre_scores_gemma":[0.997129,0.0000050187873,0.0023792998,0.0003910323,0.000020097184,0.0000010409263,0.0000052312034,8.767936e-7,0.0000684061],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989537,0.000068374844,0.0001368585,0.0003386419,0.00018897955,0.00031344767],"domain_scores_gemma":[0.9992832,0.00045538528,0.000014449461,0.0000787939,0.000016218302,0.00015193509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045892995,0.00008867625,0.00013546062,0.00009207253,0.00022451996,0.00007267713,0.00023592968,0.000027316968,0.00045245272],"category_scores_gemma":[0.0002644245,0.000055516775,0.00002014283,0.0005137245,0.00064011593,0.00016454166,0.00005339443,0.00021482118,0.00001877162],"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":[0.00014235734,0.000023525343,0.051523365,0.00000362455,0.000004029279,0.0000075396088,0.00048325898,0.07444118,0.00012416915,0.597817,0.000003861267,0.27542612],"study_design_scores_gemma":[0.00006668842,0.000034614663,0.05316593,0.0000055172072,0.0000021252877,6.843679e-7,0.000044004108,0.61271995,0.000029233688,0.33383334,0.000038533264,0.00005939609],"about_ca_topic_score_codex":0.00017547917,"about_ca_topic_score_gemma":0.000028467435,"teacher_disagreement_score":0.53827876,"about_ca_system_score_codex":0.000005372413,"about_ca_system_score_gemma":0.000021144186,"threshold_uncertainty_score":0.49540398},"labels":[],"label_agreement":null},{"id":"W4415127296","doi":"10.54254/2753-8818/2025.au27100","title":"Application of Artificial Intelligence in Drug Discovery and Development: Targeted Design and Toxicological Property Prediction","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Computational Drug Discovery Methods","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":"Drug discovery; Drug development; Identification (biology); Economic shortage; Virtual screening; Drug","score_opus":0.013248716226065172,"score_gpt":0.2813011435666244,"score_spread":0.26805242734055923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415127296","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32884985,0.00013498552,0.67033803,0.00037907268,0.00004916329,0.00017172506,4.5382905e-7,0.000013989254,0.00006269113],"genre_scores_gemma":[0.8968144,0.000017585553,0.10308571,0.000057520363,0.0000046192,0.000010941746,4.6885353e-7,8.889901e-7,0.000007852603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888813,0.00015129731,0.00021703717,0.0003836831,0.00020399435,0.00015584813],"domain_scores_gemma":[0.9992434,0.0005277687,0.000034425135,0.000092107395,0.000052052605,0.000050283375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015657392,0.00007925125,0.00011310498,0.00013214281,0.00014399413,0.00011019309,0.00026931884,0.000030333458,8.7134964e-7],"category_scores_gemma":[0.0003313461,0.000048252332,0.0000069879543,0.0007095521,0.0014501364,0.0005235553,0.00038055753,0.00013190355,3.0723322e-7],"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":[0.000031410385,0.000031158263,0.00026189163,0.000009814256,0.0000010168736,4.1552116e-7,0.00024312231,0.0002691522,0.0069600516,0.743716,5.528977e-7,0.24847545],"study_design_scores_gemma":[0.00004185637,0.00003332031,0.028673029,0.000021530012,0.0000013831723,0.0000035462158,0.000030024017,0.6389769,0.025877763,0.30626887,0.000010444893,0.0000613577],"about_ca_topic_score_codex":0.0000068943164,"about_ca_topic_score_gemma":0.0000017451542,"teacher_disagreement_score":0.6387077,"about_ca_system_score_codex":0.000029779614,"about_ca_system_score_gemma":0.00014865164,"threshold_uncertainty_score":0.5343088},"labels":[],"label_agreement":null},{"id":"W4415181922","doi":"10.54254/2753-8818/2025.dl27823","title":"The Investigation of Orbit-Stabilizer Theorem and Its Applications","year":2025,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Aerospace Engineering and Control Systems","field":"Engineering","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":"Orbit (dynamics); Lemma (botany); Stabilizer (aeronautics); Fundamental theorem; Brouwer fixed-point theorem; Group (periodic table); Element (criminal law); Group theory; Action (physics)","score_opus":0.0018169961724934008,"score_gpt":0.19161076542228883,"score_spread":0.18979376924979544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415181922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838446,0.0074277213,0.0035967892,0.00081629277,0.0001672371,0.00022800548,0.0000017880077,0.00009012825,0.0038274757],"genre_scores_gemma":[0.9997261,0.000122061974,0.000047275775,0.000013633535,0.000012253439,0.000015202979,1.483977e-7,0.0000021222518,0.00006119273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996176,0.00001004586,0.00008388178,0.00008653234,0.00008691279,0.00011505789],"domain_scores_gemma":[0.99962884,0.00020420148,0.000008230331,0.000081619124,0.000035146888,0.000041964187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003337732,0.00005139245,0.00006349593,0.000022689748,0.00013348096,0.000029670655,0.00010992737,0.000021279666,0.0000012474362],"category_scores_gemma":[0.00007952201,0.000029466211,0.0000090290205,0.00027632725,0.00094773056,0.000051587398,0.00003158599,0.00007822858,7.727775e-7],"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":[0.0000021907001,5.466813e-7,0.000072909905,0.0000184369,0.0000021752294,2.1808697e-8,0.00004495689,0.00004846049,0.036905233,0.9587179,0.0000049663017,0.0041822176],"study_design_scores_gemma":[0.00040308508,0.0000398465,0.016089538,0.00013258474,0.000030923515,0.000007458209,0.00027267163,0.524954,0.075796336,0.38015223,0.0018490427,0.00027229104],"about_ca_topic_score_codex":8.869561e-7,"about_ca_topic_score_gemma":5.919123e-7,"teacher_disagreement_score":0.57856566,"about_ca_system_score_codex":0.000009272142,"about_ca_system_score_gemma":0.000013164932,"threshold_uncertainty_score":0.34919527},"labels":[],"label_agreement":null},{"id":"W4415273377","doi":"10.54254/2753-8818/2025.ld27617","title":"Brain-Computer Interfaces in Stroke Rehabilitation: Mechanism, Applications, and Future","year":2025,"lang":"","type":"article","venue":"Theoretical and Natural Science","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","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":"Brain–computer interface; Neurostimulation; Motor imagery; Cognition; Neuroplasticity; Functional electrical stimulation; Virtual reality; Brain stimulation; Stroke (engine)","score_opus":0.003694739836103813,"score_gpt":0.2592415372223,"score_spread":0.2555467973861962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415273377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9372526,0.0026448509,0.003835098,0.052052103,0.0015553833,0.0008959906,0.000018920742,0.0000665617,0.0016785372],"genre_scores_gemma":[0.9926261,0.0003936386,0.003141972,0.0032522352,0.0002444844,0.000024116966,5.3538525e-7,0.0000076382685,0.00030928684],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966179,0.00026695745,0.0005162583,0.0014302338,0.000489571,0.00067909225],"domain_scores_gemma":[0.9971797,0.002005177,0.00009337081,0.00038258324,0.00011624169,0.00022295528],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0014462122,0.00034972053,0.00038416078,0.00044753047,0.00058397866,0.0006276727,0.00093183987,0.00016029099,0.00006369251],"category_scores_gemma":[0.00029810026,0.00026487146,0.000053872693,0.0016786848,0.007909297,0.000630424,0.0010378249,0.0006947591,0.000009483982],"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":[0.00008071312,0.00007499297,0.00018518495,0.000090959904,0.0000032172043,0.0000034594793,0.00094547356,0.000001808869,0.032397136,0.85818195,0.00007564558,0.107959464],"study_design_scores_gemma":[0.0021611052,0.0016640471,0.019714084,0.00084716006,0.00005008796,0.00013286612,0.0024130791,0.074997336,0.21016783,0.67094475,0.015591139,0.0013165218],"about_ca_topic_score_codex":0.000007097386,"about_ca_topic_score_gemma":0.000005453594,"teacher_disagreement_score":0.1872372,"about_ca_system_score_codex":0.00007594808,"about_ca_system_score_gemma":0.00015964005,"threshold_uncertainty_score":0.99998033},"labels":[],"label_agreement":null},{"id":"W4415273393","doi":"10.54254/2753-8818/2025.ld27727","title":"Insights into Molecular Mechanisms of Polyphenols’ Inhibition of Amyloid β Aggregation in Alzheimer’s Disease","year":2025,"lang":"","type":"article","venue":"Theoretical and Natural Science","topic":"Alzheimer's disease research and treatments","field":"Medicine","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":"Saint Paul University","funders":"","keywords":"Hydrogen bond; Peptide; Dimer; Binding affinities; Molecular dynamics; Hydrophobic effect; Amyloid (mycology); Binding site; Plasma protein binding","score_opus":0.007842694013049215,"score_gpt":0.2894625825825269,"score_spread":0.28161988856947767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415273393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9196946,0.07732202,0.00035028052,0.0009917759,0.00012208195,0.00070275343,0.000012118604,0.000009449147,0.0007948997],"genre_scores_gemma":[0.9987217,0.0008720299,0.00022659743,0.00012724107,0.000012004787,0.000015349691,0.00001452514,0.0000068992936,0.0000036161034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974347,0.00016054734,0.00048783142,0.00054080295,0.00093693496,0.00043917808],"domain_scores_gemma":[0.9985629,0.00015450256,0.00011898819,0.00031235168,0.0003098666,0.0005414351],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004099177,0.00022835255,0.00040324495,0.00054614403,0.00014614264,0.000026950891,0.00020400553,0.000091238166,0.00007063323],"category_scores_gemma":[0.00048071053,0.00016729873,0.00009689711,0.0018123392,0.00578201,0.00027474243,0.00028068747,0.00025556638,0.0000049736523],"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":[0.0012601627,0.00063733204,0.00061419007,0.00015666147,0.0003087335,0.000079369245,0.00019333742,0.0000017059235,0.066011466,0.91698164,0.0000010452536,0.013754328],"study_design_scores_gemma":[0.0014316131,0.00035070835,0.018664658,0.001077356,0.00052207074,0.0000010306225,0.00012753817,0.004002451,0.38160744,0.59209186,7.4039804e-7,0.00012253619],"about_ca_topic_score_codex":0.00009518305,"about_ca_topic_score_gemma":0.00000390813,"teacher_disagreement_score":0.3248898,"about_ca_system_score_codex":0.00009101412,"about_ca_system_score_gemma":0.00090301957,"threshold_uncertainty_score":0.9969237},"labels":[],"label_agreement":null},{"id":"W4415469677","doi":"10.54254/2753-8818/2025.au27984","title":"Combined Immunotherapy of Dual-Targeted CAR NK Cells and Modified Oncolytic Virus Against Glioblastoma","year":2025,"lang":"","type":"article","venue":"Theoretical and Natural Science","topic":"CAR-T cell therapy research","field":"Medicine","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":"Oncolytic virus; Immunotherapy; Chimeric antigen receptor; Tumor microenvironment; Chemokine; Immune system; Glioblastoma; Virus","score_opus":0.006806896578322443,"score_gpt":0.28482404955225815,"score_spread":0.2780171529739357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415469677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795289,0.008738237,0.00004223255,0.0013191944,0.0007039715,0.0010550028,0.00002761668,0.000038409937,0.008546414],"genre_scores_gemma":[0.9901703,0.006575479,0.00009529232,0.00067795516,0.0000713931,0.000010598336,0.0000023500684,0.000021368644,0.002375283],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9959081,0.00026821962,0.0006851582,0.0009077975,0.001168959,0.0010617595],"domain_scores_gemma":[0.99733245,0.00096162537,0.00012956382,0.0006198821,0.0004339355,0.00052254886],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002114355,0.0004287933,0.000883478,0.0005310868,0.00048104965,0.00014720863,0.0005304828,0.0002474705,0.0008935557],"category_scores_gemma":[0.0004466425,0.00031748659,0.00014273378,0.002328242,0.017511548,0.00019936508,0.000503783,0.0009184852,0.0000102282165],"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":[0.0056900573,0.0002325821,0.000078992955,0.00019693092,0.00008213654,0.000036929836,0.000566894,0.0000033375782,0.8132041,0.13457444,0.00002929553,0.045304283],"study_design_scores_gemma":[0.006624412,0.0028738612,0.0035435506,0.0007099938,0.000109935754,0.000020190184,0.0003217913,0.035017073,0.9300826,0.019914376,0.0003442248,0.00043800054],"about_ca_topic_score_codex":0.00007360025,"about_ca_topic_score_gemma":0.000005206726,"teacher_disagreement_score":0.11687848,"about_ca_system_score_codex":0.000198309,"about_ca_system_score_gemma":0.000798837,"threshold_uncertainty_score":0.9999277},"labels":[],"label_agreement":null},{"id":"W4415469702","doi":"10.54254/2753-8818/2025.dl27968","title":"Exploring the Trade-off Between Accuracy and Transparency in Credit Risk Prediction Models","year":2025,"lang":"","type":"article","venue":"Theoretical and Natural Science","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","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":"Interpretability; Logistic regression; Random forest; Decision tree; Boosting (machine learning); Credit risk; Predictive modelling; Metric (unit); Default; Ordinary least squares","score_opus":0.02272191441987632,"score_gpt":0.23659920836863665,"score_spread":0.21387729394876034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415469702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865687,0.0032376172,0.00083233905,0.004272272,0.0011771744,0.0004220667,0.000037370402,0.000051171464,0.0034012753],"genre_scores_gemma":[0.9942522,0.004963589,0.000016002537,0.00017184856,0.0005384007,0.000027463777,0.0000066575594,0.000007070833,0.000016754455],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9977538,0.000048884405,0.0005027899,0.0006629724,0.0004694606,0.00056207675],"domain_scores_gemma":[0.9992113,0.00033234118,0.00012832443,0.00021465945,0.0000712041,0.000042162097],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0015444458,0.0002663835,0.00028679002,0.00029139404,0.0012116297,0.00065826596,0.00045716672,0.0000921732,0.000021749831],"category_scores_gemma":[0.0005692253,0.00017485282,0.000058705533,0.0018016029,0.0031993268,0.003937738,0.0002977874,0.00068263727,0.0000023984182],"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":[0.00010380052,0.000037315447,0.022145094,0.00012106654,0.000008508244,0.000001908035,0.000296986,0.000044107564,0.00010270952,0.6437327,0.000027212755,0.33337858],"study_design_scores_gemma":[0.00046646604,0.000029185017,0.6785547,0.00040518324,0.00014088432,7.8154306e-7,0.00025531868,0.123419635,0.00007533841,0.19587252,0.00059664546,0.00018333517],"about_ca_topic_score_codex":0.0002803681,"about_ca_topic_score_gemma":0.000030675543,"teacher_disagreement_score":0.6564096,"about_ca_system_score_codex":0.000044044576,"about_ca_system_score_gemma":0.00006350207,"threshold_uncertainty_score":0.9995134},"labels":[],"label_agreement":null},{"id":"W4415469758","doi":"10.54254/2753-8818/2025.au27989","title":"Type 1 Diabetes and Its Potential Treatments (GDF 15)","year":2025,"lang":"","type":"article","venue":"Theoretical and Natural Science","topic":"Diabetes Treatment and Management","field":"Medicine","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":"Kensington Health","funders":"","keywords":"Type 1 diabetes; Disease; Genetic predisposition; Diabetes mellitus; Diabetic ketoacidosis; Autoimmune disease; Insulin; Type 2 diabetes","score_opus":0.0036646673770942806,"score_gpt":0.25050666755996637,"score_spread":0.24684200018287208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415469758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9529748,0.027039409,0.0000039113106,0.0034515008,0.001188272,0.00057892216,0.0000055505757,0.000038098355,0.0147195505],"genre_scores_gemma":[0.98989433,0.0028162175,0.000080748636,0.00084472564,0.00007949688,0.000008666715,0.0000060360953,0.000007432175,0.0062623345],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9978061,0.000050426443,0.00023900619,0.00070254586,0.00042946433,0.00077251135],"domain_scores_gemma":[0.9991263,0.00012327165,0.000044422686,0.0002185651,0.00013420833,0.00035319655],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004580028,0.0003062951,0.0003872536,0.0002217695,0.00046563722,0.00018528813,0.00021769872,0.00009188951,0.00038424146],"category_scores_gemma":[0.00025222442,0.00020106345,0.00005587998,0.0009262201,0.0033524246,0.0002593352,0.00053231494,0.00020194486,0.000059794813],"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":[0.00025244796,0.00030719422,0.0038839742,0.00016864968,0.0002630811,0.00002772239,0.000121595265,2.883096e-7,0.018662892,0.8613937,0.00019506838,0.114723384],"study_design_scores_gemma":[0.017313153,0.008255783,0.46464923,0.003093775,0.009626719,0.000024879231,0.0007630481,0.07181417,0.1285813,0.2885964,0.0051041306,0.0021774312],"about_ca_topic_score_codex":0.0000026757082,"about_ca_topic_score_gemma":3.3274483e-7,"teacher_disagreement_score":0.5727973,"about_ca_system_score_codex":0.00008063009,"about_ca_system_score_gemma":0.00012527134,"threshold_uncertainty_score":0.9993599},"labels":[],"label_agreement":null},{"id":"W4415469779","doi":"10.54254/2753-8818/2025.dl27965","title":"An Empirical Analysis Based on Per Capita GDP and Global Temperature Changes","year":2025,"lang":"","type":"article","venue":"Theoretical and Natural Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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","funders":"","keywords":"Polynomial regression; Linear regression; Global temperature; Linear model; Polynomial; Regression analysis; Distributed lag; Per capita; Global warming; Regression","score_opus":0.008086276534007994,"score_gpt":0.25555376267232266,"score_spread":0.24746748613831465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415469779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9650704,0.0049832347,0.0001875036,0.021931507,0.00073222816,0.00022315311,0.00029915327,0.000022792641,0.006549997],"genre_scores_gemma":[0.99549997,0.0003494772,0.00026703096,0.0035502054,0.0001283228,0.000006207983,0.000009573654,0.000005885482,0.00018335323],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.997077,0.00008910168,0.00039908694,0.0016173937,0.000107768166,0.000709636],"domain_scores_gemma":[0.9985356,0.00020634873,0.00012433642,0.00059571164,0.00007654321,0.0004615134],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0019802544,0.00034544387,0.00071818026,0.0005356504,0.00069864193,0.00057525875,0.00053124066,0.0002491998,0.0005315627],"category_scores_gemma":[0.0003295883,0.00030295653,0.0001217941,0.0017130149,0.0045897914,0.00038153928,0.00020351453,0.0004942553,0.000036833157],"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":[0.00018139115,0.00013046844,0.17018999,0.00003451932,0.00006433653,0.0000021979456,0.00013582609,0.000030120478,0.00011503416,0.8240428,0.000055724482,0.005017614],"study_design_scores_gemma":[0.00064767135,0.00049560686,0.65075946,0.000026894028,0.00018266184,0.0000041866315,0.00009605908,0.14748065,0.0003820088,0.19844542,0.00086210115,0.00061726826],"about_ca_topic_score_codex":0.0000729015,"about_ca_topic_score_gemma":0.00007837352,"teacher_disagreement_score":0.62559736,"about_ca_system_score_codex":0.00015797498,"about_ca_system_score_gemma":0.0001480638,"threshold_uncertainty_score":0.99994224},"labels":[],"label_agreement":null},{"id":"W4415620196","doi":"10.54254/2753-8818/2026.hz28710","title":"Chain-k Mappings: A Combinatorial and Spectral Approach to Analyzing Complete Mappings","year":2025,"lang":"","type":"article","venue":"Theoretical and Natural Science","topic":"Finite Group Theory Research","field":"Mathematics","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":"Bijection, injection and surjection; Permutation (music); Automorphism; Characterization (materials science); Connection (principal bundle); Permutation group; Group (periodic table); Class (philosophy)","score_opus":0.018562479145589388,"score_gpt":0.297868310443258,"score_spread":0.2793058312976686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415620196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9248644,0.0014792711,0.005929707,0.0070775812,0.0012046761,0.0017365713,0.00003264137,0.000121161975,0.05755398],"genre_scores_gemma":[0.9928808,0.00008687668,0.0057613654,0.0005011647,0.00018444551,0.000020653686,0.000002207383,0.000020703854,0.00054177013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9948444,0.00034713812,0.0006531364,0.0014118408,0.0011037039,0.0016398057],"domain_scores_gemma":[0.99667233,0.001559896,0.00010784405,0.0006047794,0.00026712217,0.0007880191],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.005521167,0.0005132294,0.0008060031,0.0007838503,0.0012846515,0.0008816874,0.0012689859,0.00020790908,0.00009322839],"category_scores_gemma":[0.0029933911,0.00041102455,0.00011453228,0.003613964,0.012322504,0.00033868614,0.0021456436,0.0012130671,0.000027893126],"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":[0.00039411723,0.0001704983,0.0001352874,0.00038785124,0.000042434513,0.0000076523,0.0018321924,6.59931e-7,0.011460904,0.98254,0.00007946784,0.0029488944],"study_design_scores_gemma":[0.0011449938,0.0003003057,0.00154653,0.00040435884,0.000078334524,0.00004359748,0.0007134781,0.033375032,0.0011618012,0.96013516,0.00055147253,0.0005449448],"about_ca_topic_score_codex":0.000020663014,"about_ca_topic_score_gemma":9.863379e-7,"teacher_disagreement_score":0.0680164,"about_ca_system_score_codex":0.00020187444,"about_ca_system_score_gemma":0.00027892058,"threshold_uncertainty_score":0.9998342},"labels":[],"label_agreement":null},{"id":"W4415926346","doi":"10.54254/2753-8818/2025.dl29003","title":"From GPT to LLaMA: Tracing the Growth of Large Language Models","year":2025,"lang":"","type":"article","venue":"Theoretical and Natural Science","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","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":"LEAPS; Language model; Scaling; Tracing; Key (lock); Natural language; Scaling law","score_opus":0.025852714525598453,"score_gpt":0.3912550438801011,"score_spread":0.3654023293545027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415926346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9608716,0.0043870467,0.0024298516,0.027163843,0.001126938,0.00038000708,0.000015676427,0.000012879337,0.003612199],"genre_scores_gemma":[0.99674857,0.00017599858,0.00019553516,0.0023946238,0.00028141815,0.0000057958778,0.0000019495753,0.000004063119,0.00019203669],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981754,0.00009160154,0.0004077371,0.0004047144,0.00041990925,0.0005006474],"domain_scores_gemma":[0.99825907,0.0008635111,0.00005564541,0.0002901153,0.00029869523,0.00023294592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015632218,0.00013776387,0.000249115,0.00012759362,0.00044752823,0.00005753816,0.0003839988,0.00008968342,0.00020177667],"category_scores_gemma":[0.001576297,0.00007960712,0.000051894884,0.0012741823,0.0025239454,0.0001649639,0.00019529319,0.00039152775,0.000020053509],"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":[0.00019385954,0.00007458763,0.00035806085,0.000062511834,0.000009029615,0.0000021077983,0.020599894,0.0000039851006,0.014647197,0.9156325,0.00009416694,0.048322104],"study_design_scores_gemma":[0.00008944027,0.00020387825,0.0036296912,0.0008020974,0.0001116778,0.0000036167203,0.021990528,0.048353244,0.25614572,0.66845924,0.000035214704,0.00017567496],"about_ca_topic_score_codex":0.0012540565,"about_ca_topic_score_gemma":0.00003227699,"teacher_disagreement_score":0.24717326,"about_ca_system_score_codex":0.000064046464,"about_ca_system_score_gemma":0.0004092697,"threshold_uncertainty_score":0.9299582},"labels":[],"label_agreement":null},{"id":"W4416363507","doi":"10.54254/2753-8818/2025.dl29641","title":"Learning to Slide: Cross-Size Graph Neural Heuristics for Optimal Puzzle Solving","year":2025,"lang":"","type":"article","venue":"Theoretical and Natural Science","topic":"3D Shape Modeling and Analysis","field":"Engineering","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":"Heuristics; Artificial neural network; Heuristic; Graph; Inference; Ranging; Scalability; Embedding; DPLL algorithm","score_opus":0.004787438996856412,"score_gpt":0.270022258130102,"score_spread":0.2652348191332456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416363507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.881576,0.0018760961,0.11237453,0.0012580073,0.0011039984,0.00034799025,0.000015331967,0.00016179628,0.0012862297],"genre_scores_gemma":[0.9913367,0.00009919868,0.007377969,0.000247447,0.0001332913,0.000018701203,0.0000018810249,0.000018807415,0.00076600036],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99730104,0.000043282707,0.00045067223,0.00075456046,0.00041091206,0.0010395037],"domain_scores_gemma":[0.9981367,0.0008951473,0.00004179389,0.00024325767,0.00029353285,0.00038955783],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0012826638,0.0003351298,0.0004206904,0.00026102542,0.0014762062,0.00078492647,0.00061042473,0.00013203316,0.00006395572],"category_scores_gemma":[0.0034481431,0.00028231854,0.0001893612,0.0016647911,0.0021014535,0.0002557962,0.00039148526,0.0006781626,0.000008716956],"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":[0.00028873887,0.000057788606,0.0014254071,0.00034314656,0.000088708235,0.000012053149,0.0009854103,0.44033584,0.015107165,0.4557872,0.000080613136,0.08548791],"study_design_scores_gemma":[0.00031338944,0.00015292247,0.00075189496,0.00014050725,0.00010367968,0.000004747919,0.00014301592,0.9745192,0.002382196,0.020938853,0.0001736437,0.00037595842],"about_ca_topic_score_codex":0.000010772006,"about_ca_topic_score_gemma":0.000001610328,"teacher_disagreement_score":0.5341833,"about_ca_system_score_codex":0.00007213615,"about_ca_system_score_gemma":0.00007770183,"threshold_uncertainty_score":0.9999629},"labels":[],"label_agreement":null},{"id":"W4416445097","doi":"10.54254/2753-8818/2026.au29633","title":"Gut Microbiota – Overview of the Gut–Brain Axis and Its Association with Protein Misfolding in Parkinson’s Disease","year":2025,"lang":"","type":"article","venue":"Theoretical and Natural Science","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","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":"Disease; Gut flora; Inflammation; Immune system; Gut–brain axis; Function (biology); Immunity; Dopaminergic; Balance (ability)","score_opus":0.007199644865074766,"score_gpt":0.26267584957798257,"score_spread":0.25547620471290783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416445097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9655677,0.023478692,0.0000046736873,0.009307756,0.00015342738,0.001054264,0.000049562652,0.000008861006,0.0003750732],"genre_scores_gemma":[0.99790084,0.00084375194,0.00006413012,0.0005881685,0.000019413455,0.000023367145,0.0000017991556,0.0000069158405,0.0005515851],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9977919,0.00019661358,0.00030158492,0.0006200263,0.00056837,0.0005215312],"domain_scores_gemma":[0.99894506,0.00021376649,0.00015432986,0.00024806423,0.00013409641,0.00030465648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010534173,0.0002537528,0.0003750724,0.0001443199,0.0003108102,0.00007515915,0.00025766797,0.00009357421,0.00007250629],"category_scores_gemma":[0.0010592181,0.00014151329,0.00006687938,0.0012648674,0.0012647114,0.0001747069,0.00030386003,0.0002908822,0.0000020055352],"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":[0.0016463218,0.00060637004,0.09316338,0.0010152214,0.00012073089,0.000054902037,0.0003806425,0.0000010303196,0.22535667,0.66225344,0.0000393271,0.015361956],"study_design_scores_gemma":[0.002739087,0.0002141005,0.9492208,0.0040756823,0.0002978247,0.0000053823874,0.00008206457,0.0023753769,0.015828015,0.023897095,0.001015652,0.00024893493],"about_ca_topic_score_codex":0.000025106154,"about_ca_topic_score_gemma":0.000008947748,"teacher_disagreement_score":0.8560574,"about_ca_system_score_codex":0.0002634387,"about_ca_system_score_gemma":0.00048756445,"threshold_uncertainty_score":0.5770744},"labels":[],"label_agreement":null},{"id":"W4416775608","doi":"10.54254/2753-8818/2026.hz29958","title":"Velocity Field, Pressure Distribution, and Aerodynamic Forces on Airfoils via Conformal Mapping","year":2025,"lang":"","type":"article","venue":"Theoretical and Natural Science","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","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":"Canadian Armed Forces","funders":"","keywords":"Airfoil; Conformal map; Inviscid flow; Aerodynamics; Lift (data mining); Conservative vector field; Camber (aerodynamics); Angle of attack; Potential flow; Lift coefficient","score_opus":0.00188212327614238,"score_gpt":0.2104102841609991,"score_spread":0.20852816088485673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416775608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89055115,0.0017726199,0.09811012,0.003483871,0.0006156802,0.0002490351,0.000051114082,0.00007534884,0.0050910716],"genre_scores_gemma":[0.998758,0.00040816952,0.00019388724,0.00037609276,0.000028852759,0.000003073734,0.0000119647875,0.0000037740426,0.00021618798],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998575,0.000032188662,0.00028854256,0.00039395216,0.00028573137,0.000424621],"domain_scores_gemma":[0.9992792,0.00022585006,0.000034772944,0.00018097984,0.000107098786,0.0001720963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005379393,0.0002131354,0.00024642586,0.00012396876,0.0006048616,0.00029651893,0.00025456108,0.00012931833,0.00010097141],"category_scores_gemma":[0.00026622976,0.00016727153,0.000055793607,0.00078955817,0.0017746866,0.00030873937,0.00020260309,0.00038875593,0.000004019361],"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":[0.00004757284,0.000012510771,0.00019099476,0.00008811725,0.000036805606,0.0000010046311,0.00009954972,0.0005094619,0.0025034011,0.9714081,0.000030710522,0.025071722],"study_design_scores_gemma":[0.0002304799,0.00006784315,0.020631626,0.000109167406,0.00006064584,0.0000034653967,0.000047131824,0.9549825,0.0011380615,0.022249423,0.00027081225,0.00020880725],"about_ca_topic_score_codex":0.000022858794,"about_ca_topic_score_gemma":0.000008024217,"teacher_disagreement_score":0.9544731,"about_ca_system_score_codex":0.000041292606,"about_ca_system_score_gemma":0.00005443649,"threshold_uncertainty_score":0.68211347},"labels":[],"label_agreement":null},{"id":"W4416956506","doi":"10.54254/2753-8818/2026.au30172","title":"Investigating Neural Mechanisms Underlying Landmark and Map-Learning in a Novel Goal-Directed Navigation Research Platform","year":2025,"lang":"","type":"article","venue":"Theoretical and Natural Science","topic":"Spatial Cognition and Navigation","field":"Engineering","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":"St. Lawrence College","funders":"","keywords":"Landmark; Spatial memory; Cognitive map; Heading (navigation); Spatial learning; Cognition; Electroencephalography; Mechanism (biology)","score_opus":0.028129482140101747,"score_gpt":0.3235111573628179,"score_spread":0.29538167522271613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416956506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99321985,0.0007177166,0.002215477,0.0011892943,0.00040598892,0.0004007513,0.0000036390845,0.0001516743,0.001695622],"genre_scores_gemma":[0.99777013,0.00006542247,0.0019343542,0.000108452645,0.000025442256,0.0000137051475,0.000013225164,0.0000116569745,0.000057600868],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997611,0.00014511614,0.000386724,0.0005465148,0.0006226193,0.00068806746],"domain_scores_gemma":[0.9985217,0.00085991935,0.000047794292,0.00010853498,0.00023512039,0.0002269223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031528925,0.00021992392,0.00023644116,0.00047852917,0.0008889457,0.00041186056,0.00021045675,0.00017425415,0.000028819906],"category_scores_gemma":[0.001523145,0.00019706764,0.000025490304,0.0025878595,0.002426653,0.0005899145,0.0002783268,0.0015335925,0.0000044523963],"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":[0.000057133573,0.000020627676,0.0005870566,0.00019582937,0.000006469128,0.000004016563,0.0013588377,0.00019600011,0.25031224,0.69249225,0.000001956782,0.054767553],"study_design_scores_gemma":[0.00076317874,0.00009630089,0.020469263,0.001048663,0.000012377607,0.000011653579,0.0007334657,0.76651746,0.008193964,0.20191623,0.00001117686,0.00022626191],"about_ca_topic_score_codex":0.00012665534,"about_ca_topic_score_gemma":0.000025209456,"teacher_disagreement_score":0.7663215,"about_ca_system_score_codex":0.0002174585,"about_ca_system_score_gemma":0.000176353,"threshold_uncertainty_score":0.8941104},"labels":[],"label_agreement":null},{"id":"W4417444983","doi":"10.54254/2753-8818/2026.ch30663","title":"Biomimetic Dolphin-Inspired Fin Designs and Underwater Prosthetic Applications","year":2025,"lang":"","type":"article","venue":"Theoretical and Natural Science","topic":"Biomimetic flight and propulsion mechanisms","field":"Engineering","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":"Doug Bragg Enterprises (Canada)","funders":"","keywords":"Propulsion; Fin; Biomimetics; Stiffness; Underwater; Fish fin; Strouhal number; Propulsor","score_opus":0.007393888099317227,"score_gpt":0.24025879234439956,"score_spread":0.23286490424508233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417444983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7822386,0.036306564,0.12517782,0.03182521,0.0028029522,0.0049450956,0.000055753277,0.00063327374,0.01601473],"genre_scores_gemma":[0.9935358,0.0006425021,0.0048510884,0.0003233473,0.000041532832,0.000048748054,0.0000021912085,0.000014833062,0.00053991756],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977684,0.00007304408,0.00038259022,0.00073290756,0.00034025588,0.00070277415],"domain_scores_gemma":[0.99896777,0.00021703434,0.000038227183,0.0003585622,0.00009120531,0.00032719076],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008701839,0.00034757613,0.00033109033,0.0003201694,0.0007098846,0.00035495224,0.00046925948,0.00020502496,0.00020929096],"category_scores_gemma":[0.00007106796,0.00024834214,0.000056719986,0.0014247409,0.00540336,0.00018904424,0.00037845862,0.0003966549,0.000047901187],"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":[0.000039528746,0.000030118752,0.00001630051,0.0001329327,0.00001222962,0.0000018537099,0.00015403493,0.0000015061862,0.17053089,0.75272256,0.000024075442,0.07633395],"study_design_scores_gemma":[0.00069615117,0.00018105636,0.00070812216,0.00021466707,0.00013829948,0.000030024741,0.00007908407,0.040616468,0.2555844,0.69897735,0.002237735,0.0005366306],"about_ca_topic_score_codex":0.000009918309,"about_ca_topic_score_gemma":0.0000013223977,"teacher_disagreement_score":0.21129723,"about_ca_system_score_codex":0.000060763374,"about_ca_system_score_gemma":0.00011694684,"threshold_uncertainty_score":0.9999969},"labels":[],"label_agreement":null},{"id":"W7117117856","doi":"10.54254/2753-8818/2026.ch30759","title":"Causal Inference with Observational Data via Propensity Score Matching: A Simple, Hands‑On Guide","year":2025,"lang":"","type":"article","venue":"Theoretical and Natural Science","topic":"Advanced Causal Inference Techniques","field":"Mathematics","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":"Dalhousie University","funders":"","keywords":"Propensity score matching; Causal inference; Observational study; Matching (statistics); Checklist; Replication (statistics); Workflow; Baseline (sea); Simple (philosophy)","score_opus":0.1522939937492116,"score_gpt":0.4137528535260652,"score_spread":0.2614588597768536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117117856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8478291,0.00015798034,0.13995165,0.003044336,0.00020565442,0.0012347047,0.0000837576,0.00027278753,0.0072200308],"genre_scores_gemma":[0.9793907,0.000093760485,0.018746475,0.0012392971,0.000061030765,0.000019319546,0.000036380432,0.00001890222,0.00039416566],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99553806,0.00015843041,0.00067975465,0.001463995,0.0012272157,0.0009325425],"domain_scores_gemma":[0.9952288,0.0019564417,0.00024001542,0.0015630859,0.00068122445,0.00033043296],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0023439925,0.00054971286,0.00064000837,0.00021776446,0.00095250964,0.00045212245,0.0021981746,0.00018700071,0.0001776426],"category_scores_gemma":[0.004104596,0.0003538269,0.000039605613,0.001654921,0.010008379,0.0013713662,0.0026677405,0.0010791441,0.000014521098],"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":[0.00035830028,0.00014188727,0.0020883412,0.00012812205,0.000021459275,0.00002078197,0.00012014999,0.0000060222005,0.004822222,0.97865,0.0002401999,0.0134025235],"study_design_scores_gemma":[0.0005123035,0.0007057298,0.014479792,0.0009350343,0.00009067697,0.000033256354,0.00004094979,0.013592495,0.01085814,0.95802385,0.00018395064,0.0005438074],"about_ca_topic_score_codex":0.00006252615,"about_ca_topic_score_gemma":0.00004843659,"teacher_disagreement_score":0.13156156,"about_ca_system_score_codex":0.00017607876,"about_ca_system_score_gemma":0.0010691119,"threshold_uncertainty_score":0.9998914},"labels":[],"label_agreement":null}]}