{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":10,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":10,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"25dcf1bba033","filters":{"venue":"TRAP@NCI (National College of Ireland)"}},"results":[{"id":"W2896299393","doi":"","title":"Breaking the Practice: Negative Attitudes Towards Autism","year":2018,"lang":"en","type":"dissertation","venue":"TRAP@NCI (National College of Ireland)","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Empathy; Autism; Psychology; Population; Developmental psychology; Clinical psychology; Psychiatry; Medicine","authors":[{"name":"Áine Walsh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03646771248850488,"gpt":0.3617777854731921,"spread":0.3253100729846872,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000979508,0.0004359923,0.0004728403,0.0004205682,0.0005982378,0.00009112265,0.00112156,0.0003691677,0.0009162336],"category_scores_gemma":[0.003794033,0.0003414833,0.0002405157,0.00111628,0.0004479858,0.0005215608,0.0001050982,0.0008950786,0.0001950647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002745587,"about_ca_system_score_gemma":0.001864699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000235688,"about_ca_topic_score_gemma":0.0006649818,"domain_scores_codex":[0.9944671,0.0004621592,0.0006845768,0.0007901518,0.003078981,0.0005169827],"domain_scores_gemma":[0.9964178,0.001925988,0.0007722071,0.0004219169,0.0003519935,0.0001101476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00156729,0.0009085548,0.00008952452,0.0003578873,0.0002818762,0.0001113054,0.006759333,0.00004252056,0.004019596,0.9671548,0.01649859,0.002208718],"study_design_scores_gemma":[0.009486415,0.002573447,0.2645969,0.001957276,0.0007425898,0.0007449003,0.006912566,0.003530817,0.130156,0.4084571,0.166941,0.003901019],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2712394,0.00127773,0.0001635089,0.0361199,0.003523356,0.004642875,0.00322291,0.0003642902,0.679446],"genre_scores_gemma":[0.9768745,0.0002627182,0.0003835665,0.0003882707,0.0002091364,0.0001702355,0.000167847,0.00008386353,0.02145982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7056351,"threshold_uncertainty_score":0.9999971,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6989306044","doi":"","title":"Android botnet detection using signature&#13;\\ndata and Ensemble Machine Learning","year":2020,"lang":"en","type":"dissertation","venue":"TRAP@NCI (National College of Ireland)","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Botnet; Classifier (UML); Android (operating system); Ensemble learning; Malware; Statistical classification; Permission","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01691190170765377,"gpt":0.2663543982752828,"spread":0.2494424965676291,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003445361,0.0003878623,0.0004882305,0.000510908,0.0002750176,0.00006417221,0.0005022954,0.0004082322,0.00002404042],"category_scores_gemma":[0.0002959147,0.0004216428,0.0001244606,0.000801621,0.00004633407,0.0006535652,0.0001078428,0.0008106939,0.000004609892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001464138,"about_ca_system_score_gemma":0.0002642563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005798174,"about_ca_topic_score_gemma":0.000319653,"domain_scores_codex":[0.9974399,0.0001221651,0.0005729632,0.0007402216,0.0008738834,0.000250853],"domain_scores_gemma":[0.9982916,0.0002060921,0.0006027449,0.0002524288,0.0005216625,0.0001254632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004486388,0.001063169,0.001032321,0.004346919,0.001625157,0.000542113,0.007585119,0.01352875,0.7338183,0.07725637,0.004802289,0.1499131],"study_design_scores_gemma":[0.003141514,0.001717398,0.003987018,0.0006256265,0.0002041573,0.0004777216,0.0004023331,0.5520254,0.3779813,0.03258208,0.02464064,0.002214847],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1184253,0.004160994,0.8665628,0.0003488637,0.00148885,0.001680616,0.0007536499,0.001394467,0.005184475],"genre_scores_gemma":[0.9735672,0.0002645062,0.02428226,0.00007222245,0.0001297036,0.00003591487,0.0005058262,0.00005642874,0.001085889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.855142,"threshold_uncertainty_score":0.9998235,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7042591336","doi":"","title":"A Qualitative Investigation on the&#13;\\nImpact of Human Resource Information Systems (HRIS)&#13;\\non the Organisation Performance in the&#13;\\nRetail Sector of Canada","year":2020,"lang":"en","type":"dissertation","venue":"TRAP@NCI (National College of Ireland)","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Nonprobability sampling; Human resource management system; Human resources; Qualitative research; Human resource management; Sample (material); Information system; Data collection; Resource (disambiguation)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03832846867893813,"gpt":0.2545798728541738,"spread":0.2162514041752357,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00225314,0.0003530149,0.0005107985,0.0004431302,0.0003584612,0.00008625044,0.0005939162,0.0001990005,0.00004800678],"category_scores_gemma":[0.0005507273,0.0002277369,0.0001261937,0.001159192,0.0001115138,0.000727589,0.00002619367,0.0004677701,0.000009429421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001966978,"about_ca_system_score_gemma":0.0006756809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05712356,"about_ca_topic_score_gemma":0.1063505,"domain_scores_codex":[0.99631,0.0002085081,0.00124253,0.0002311407,0.001768488,0.0002393357],"domain_scores_gemma":[0.9962917,0.0007783782,0.001921655,0.000268084,0.0007192572,0.00002093452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.005754936,0.0007601982,0.05305651,0.02111332,0.001586282,0.00001098645,0.3673247,0.02848556,0.003250877,0.3455146,0.1725033,0.0006387756],"study_design_scores_gemma":[0.005064019,0.0006392435,0.6932545,0.003904774,0.000505346,0.000006360963,0.2554767,0.0208024,0.002803798,0.005865091,0.01028573,0.00139201],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695297,0.00006028271,0.000006490817,0.001323213,0.0002666995,0.001133255,0.0002228364,0.00002253877,0.02743493],"genre_scores_gemma":[0.9968076,0.00001027073,0.000002845658,0.0004649185,0.0002735916,0.00009625038,0.001964817,0.00003287278,0.0003468867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.640198,"threshold_uncertainty_score":0.9491552,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7056366477","doi":"","title":"Examining whether Self-esteem and traits of Alexithymia influence university student’s attitudes towards help-seeking","year":2018,"lang":"en","type":"dissertation","venue":"TRAP@NCI (National College of Ireland)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Cancer Institute","keywords":"Alexithymia; Toronto Alexithymia Scale; Scale (ratio); Depression (economics); Mental health; Positive attitude","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01924697043211141,"gpt":0.2821720430981345,"spread":0.2629250726660231,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003897782,0.0002477809,0.0003934563,0.0003134081,0.0001179426,0.00001923034,0.0003385777,0.0001344092,0.00740225],"category_scores_gemma":[0.00002096148,0.0002613232,0.00009275881,0.0003074927,0.0001058103,0.00006769249,0.00007395633,0.0002174192,0.000005075548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003031889,"about_ca_system_score_gemma":0.0006360296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003145837,"about_ca_topic_score_gemma":0.0003954289,"domain_scores_codex":[0.9979147,0.00008235154,0.0004243792,0.0003620071,0.001009098,0.0002074591],"domain_scores_gemma":[0.9984487,0.0001631224,0.0003784733,0.0001381633,0.0007822204,0.00008926613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002611529,0.005906383,0.6618009,0.005238823,0.005143612,0.00006274103,0.02838714,0.0001543084,0.038963,0.1329714,0.01705935,0.1017009],"study_design_scores_gemma":[0.001553945,0.0003294821,0.9852221,0.0004799778,0.00009400689,8.678128e-7,0.004932318,0.0001495473,0.0006945588,0.0001665363,0.006086988,0.0002896461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8938259,0.00007803005,0.00001962618,0.00005563754,0.00007103082,0.0004455922,0.0004873268,0.00001638628,0.1050005],"genre_scores_gemma":[0.9794514,0.00002906105,0.0006413078,0.000007813767,0.00008559759,0.00001090753,0.0001964558,0.00001995169,0.01955751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3234213,"threshold_uncertainty_score":0.9999839,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7120418733","doi":"","title":"Factors Influencing Employee Performance on Flexible Working for a Sales Function within an Organisation","year":2025,"lang":"en","type":"other","venue":"TRAP@NCI (National College of Ireland)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Function (biology); Coaching; Measure (data warehouse); Work (physics); Plan (archaeology); Job satisfaction; Key (lock); Control (management); Quarter (Canadian coin)","authors":[{"name":"Mohamed Abdel Mohty","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05407285410055306,"gpt":0.2846014576838745,"spread":0.2305286035833214,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006897654,0.0006326559,0.0006741516,0.00176424,0.0002448258,0.00004342449,0.0003725767,0.0005995841,0.0005699167],"category_scores_gemma":[0.0002329913,0.000603224,0.0001958024,0.0008800851,0.0001107069,0.0002929752,0.00003504699,0.0003705345,0.000154179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007015337,"about_ca_system_score_gemma":0.001243593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007762133,"about_ca_topic_score_gemma":0.0006647182,"domain_scores_codex":[0.9966868,0.00011408,0.0007824895,0.0007211508,0.001313519,0.0003819753],"domain_scores_gemma":[0.9977706,0.0003446409,0.0009342624,0.0003697467,0.0004681078,0.0001126413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.008052849,0.001979948,0.1587846,0.003314817,0.003427088,0.000007081479,0.005543039,0.032514,0.005881753,0.1435354,0.6353096,0.001649838],"study_design_scores_gemma":[0.02228071,0.007384862,0.6141378,0.01382249,0.002129751,0.00001832485,0.004502775,0.01634881,0.01543546,0.01394278,0.2830743,0.006921902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7432738,0.0003915218,0.001789808,0.00008419485,0.002291565,0.004613001,0.01055351,0.001991294,0.2350113],"genre_scores_gemma":[0.8689706,0.00001437166,0.0009473104,0.000113679,0.0004726996,0.0001661658,0.002495008,0.0007895667,0.1260306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4553532,"threshold_uncertainty_score":0.9996419,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7112633441","doi":"","title":"The Complexities of Acculturation and Discrimination of Immigrants in Ireland","year":2025,"lang":"en","type":"other","venue":"TRAP@NCI (National College of Ireland)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Acculturation; Irish; Immigration; Scale (ratio); Regression analysis; Index of dissimilarity","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02373007147927279,"gpt":0.2811853869914218,"spread":0.257455315512149,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006312437,0.0003043074,0.000636616,0.0008107075,0.00007087606,0.00001240072,0.0002868585,0.0002815915,0.0001541186],"category_scores_gemma":[0.000315386,0.0002283316,0.0001196834,0.0005999634,0.000509355,0.0001199893,0.00005459831,0.0001866619,0.000006725342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000105572,"about_ca_system_score_gemma":0.0003567474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001158147,"about_ca_topic_score_gemma":0.01602885,"domain_scores_codex":[0.9974479,0.0001914123,0.0008877451,0.0002925337,0.000995305,0.0001850705],"domain_scores_gemma":[0.9976797,0.0005707028,0.0009788505,0.0002107893,0.0005261547,0.00003386966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001460575,0.0007837278,0.005840646,0.002430195,0.0008109968,0.000005811539,0.002598998,0.0001541369,0.002999807,0.6416781,0.3402537,0.0009833397],"study_design_scores_gemma":[0.0232215,0.0009806266,0.7553421,0.01255374,0.0009972533,0.00004498525,0.0117474,0.004702455,0.006021746,0.07011966,0.1119978,0.002270732],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0711683,0.009545725,0.0001199371,0.001010385,0.0005476277,0.003364228,0.03631188,0.0001236966,0.8778082],"genre_scores_gemma":[0.873594,0.0006159318,0.0002457177,0.00001158819,0.00007413643,0.00005881354,0.0007037409,0.0001462573,0.1245498],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8024257,"threshold_uncertainty_score":0.9311094,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7064703920","doi":"","title":"COVID-19 Vaccine Understanding and Aftereffects: Twitter User Mental Health Analysis and Pfizer Stock Predictions for Major Regions","year":2021,"lang":"en","type":"dissertation","venue":"TRAP@NCI (National College of Ireland)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Stock (firearms); Mental health; Categorization; Sentiment analysis; Social media","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03458079952057325,"gpt":0.3346374943487802,"spread":0.300056694828207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003801177,0.000259927,0.0005237071,0.0006610399,0.0003990684,0.00004846698,0.0001028246,0.000105783,0.009729858],"category_scores_gemma":[0.00005471978,0.0002560863,0.0002082029,0.0006213261,0.00004174524,0.00004090735,0.00003970106,0.0001964754,5.927015e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328984,"about_ca_system_score_gemma":0.001014614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005787323,"about_ca_topic_score_gemma":0.00367369,"domain_scores_codex":[0.9980907,0.0001026239,0.0005045639,0.0004720837,0.0005760691,0.0002539109],"domain_scores_gemma":[0.998542,0.0004397654,0.0002911385,0.000165532,0.0002485584,0.0003130048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002892854,0.00158657,0.0633285,0.00392331,0.01227037,0.00001159057,0.006917225,0.0001267781,0.0006962349,0.2072262,0.6973544,0.003665969],"study_design_scores_gemma":[0.05928557,0.003944469,0.403398,0.001796157,0.008775199,0.00003435716,0.09988091,0.02927524,0.0005502701,0.02485954,0.3640625,0.004137724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6601608,0.004949779,0.1423722,0.07590328,0.001373835,0.01849061,0.0555151,0.0001922266,0.04104211],"genre_scores_gemma":[0.9255916,0.00015226,0.0009536876,0.0003830263,0.0002101012,0.0006933284,0.01542419,0.00004732965,0.05654446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3400695,"threshold_uncertainty_score":0.9999892,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7036975872","doi":"","title":"Deception Analysis Using Deep Learning Based on Voice Stress Detection","year":2022,"lang":"en","type":"dissertation","venue":"TRAP@NCI (National College of Ireland)","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Deception; Convolutional neural network; Deep learning; Binary classification; Lie detection; Artificial neural network; Voice analysis; Stress (linguistics)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02596242880181962,"gpt":0.3269882991256278,"spread":0.3010258703238082,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005919182,0.0003515234,0.0005053457,0.002067442,0.0003916378,0.00002023879,0.000181193,0.0004777894,0.008323492],"category_scores_gemma":[0.0001484711,0.0004027225,0.0005211588,0.001704572,0.00003366086,0.0001033466,0.00001011012,0.000754858,0.00006347924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003883553,"about_ca_system_score_gemma":0.0001712297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001464148,"about_ca_topic_score_gemma":0.001891532,"domain_scores_codex":[0.9966936,0.0005523403,0.000698233,0.000611899,0.001177495,0.0002664686],"domain_scores_gemma":[0.997915,0.0003423815,0.0008277076,0.0002057842,0.0006182938,0.00009078912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01503305,0.00775484,0.01138497,0.00140105,0.01181649,0.0001548475,0.01355491,0.8559111,0.007794322,0.008542847,0.001757196,0.06489434],"study_design_scores_gemma":[0.01357926,0.003353044,0.4548025,0.0006800141,0.01006849,0.00005282395,0.03765757,0.4598452,0.00559343,0.001621026,0.009344242,0.003402399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9314404,0.0002755985,0.007461007,0.00005685979,0.002922097,0.0009305294,0.001488689,0.0002007201,0.05522408],"genre_scores_gemma":[0.9801689,0.00001972825,0.0001624072,0.00007410739,0.000202609,0.0001314457,0.01118835,0.00006467114,0.007987748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4434175,"threshold_uncertainty_score":0.9998425,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7115981296","doi":"","title":"Post-Pandemic Economic Drivers of Migration: Understanding the Rising Immigration of Chinese Citizens to Canada","year":2025,"lang":"en","type":"other","venue":"TRAP@NCI (National College of Ireland)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Immigration; Immigration policy; Economic analysis; Economic stability; Government (linguistics); Public policy","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.013917117016979,"gpt":0.2492423377336292,"spread":0.2353252207166502,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005221943,0.0004188452,0.0007615433,0.001003252,0.0001105736,0.00001157405,0.0004759218,0.0002682646,0.0006994445],"category_scores_gemma":[0.0002112551,0.0003567884,0.0002321337,0.0007114829,0.0001856547,0.00007463776,0.00005687158,0.0002291042,0.00001571682],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002024662,"about_ca_system_score_gemma":0.005684065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2147356,"about_ca_topic_score_gemma":0.9254433,"domain_scores_codex":[0.9972201,0.0001496021,0.0009496817,0.0004110901,0.001014127,0.000255389],"domain_scores_gemma":[0.9973666,0.0005718101,0.00114336,0.0003546611,0.0004733706,0.00009019324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009102371,0.0001837566,0.0259198,0.0006434636,0.002140441,0.0000121432,0.002380476,0.01341518,0.004609022,0.07878648,0.8709195,0.00007951386],"study_design_scores_gemma":[0.06245919,0.004162671,0.3109074,0.02101604,0.006967109,0.0004513781,0.08177561,0.05618893,0.009778894,0.09139401,0.3386173,0.01628153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.314084,0.001428228,0.002895256,0.004734135,0.002487932,0.005116471,0.1433722,0.0002716131,0.5256101],"genre_scores_gemma":[0.9509642,0.00005545893,0.0002263236,0.0001064274,0.0001618604,0.0000232548,0.0006543951,0.0002068456,0.04760128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7107077,"threshold_uncertainty_score":0.9999528,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7034726988","doi":"","title":"Utilising Artificial Intelligence in Enhancing Zero-Day Attacks Detection","year":2024,"lang":"en","type":"other","venue":"TRAP@NCI (National College of Ireland)","topic":"Education, Innovation and Language Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Intrusion detection system; Decision tree; Random forest; Classifier (UML); Decision tree learning; Intrusion; Supervised learning; Random tree","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.04365403159589058,"gpt":0.3677636981822316,"spread":0.324109666586341,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001475106,0.0001939121,0.000286584,0.0008525325,0.0001456735,0.00003563815,0.0001803876,0.0002845101,0.004392114],"category_scores_gemma":[0.0006825435,0.0002015501,0.00009022981,0.001375738,0.0002453582,0.00009258684,0.00002480781,0.0002841346,0.00007169868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002731524,"about_ca_system_score_gemma":0.0004734192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002249795,"about_ca_topic_score_gemma":0.1158042,"domain_scores_codex":[0.9979578,0.0001662232,0.0005471662,0.0003378844,0.0007526643,0.0002382144],"domain_scores_gemma":[0.9990845,0.0002289932,0.0002506841,0.0001078059,0.0002817655,0.0000462429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000614722,0.0004443037,0.0003368269,0.0005402357,0.000307141,0.00002694105,0.05975858,0.00005129951,0.0005163897,0.6230803,0.2764064,0.03847012],"study_design_scores_gemma":[0.0002346169,0.00007745264,0.0009439974,0.001421684,0.00007838277,0.000004063027,0.05030415,0.0002215196,0.001373483,0.05039333,0.8941138,0.0008335268],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001528555,0.002140602,0.00414415,0.001405066,0.002843581,0.0006331896,0.0002434928,0.0002028774,0.9868585],"genre_scores_gemma":[0.7370867,0.0002102747,0.0003504357,0.00009447562,0.00112263,0.00004651303,0.00003510045,0.0001115142,0.2609423],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7355582,"threshold_uncertainty_score":0.996518,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}