{"meta":{"query_hash":"25dcf1bba033","filters":{"venue":"TRAP@NCI (National College of Ireland)"},"cohort_total":10,"direct_labels_cover":0,"predictions_cover":10,"exported":10,"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/25dcf1bba033","api":"https://metacan.xera.ac/api/v1/cohort?venue=TRAP%40NCI+%28National+College+of+Ireland%29"},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Empathy; Autism; Psychology; Population; Developmental psychology; Clinical psychology; Psychiatry; Medicine","score_opus":0.03646771248850488,"score_gpt":0.36177778547319206,"score_spread":0.32531007298468717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896299393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97396415,0.0004694766,0.00020327358,0.0014627312,0.000040254334,0.000017085622,0.000030548388,0.0000086153195,0.023803819],"genre_scores_gemma":[0.99063736,0.0005843748,0.00014149304,0.00083715766,0.000023732024,0.000021387408,0.00002673597,0.000004175271,0.007723567],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9988611,0.000374062,0.000056209992,0.00010744661,0.00042087797,0.00018028035],"domain_scores_gemma":[0.9965766,0.0009975126,0.0012619136,0.00019428907,0.00038272218,0.0005869293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001302413,0.00015064827,0.00016110139,0.00036148718,0.0013650267,0.0016400097,0.00028725775,0.0004262619,0.009675889],"category_scores_gemma":[0.004302124,0.00013904588,0.00018440824,0.00016194927,0.0018756979,0.000649766,0.0011697302,0.0010031072,0.00078865327],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011253919,0.00082793896,0.6888444,0.0003018128,0.000043341737,0.0014485759,0.1456933,0.0000693785,0.0038209774,0.0035389967,0.006486815,0.14881197],"study_design_scores_gemma":[0.000010440531,0.00034894908,0.84802085,0.00038992625,0.00003141099,0.0028889347,0.11646694,0.00010443055,0.0010349941,0.0017164282,0.028961457,0.000025287287],"about_ca_topic_score_codex":0.0049071377,"about_ca_topic_score_gemma":0.0088211885,"teacher_disagreement_score":0.009675889,"about_ca_system_score_codex":0.0009111432,"about_ca_system_score_gemma":0.00096727855,"threshold_uncertainty_score":0.032369077},"labels":[],"label_agreement":null},{"id":"W6989306044","doi":"","title":"Android botnet detection using signature
\\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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Botnet; Classifier (UML); Android (operating system); Ensemble learning; Malware; Statistical classification; Permission","score_opus":0.01691190170765377,"score_gpt":0.26635439827528284,"score_spread":0.24944249656762907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989306044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62695366,0.0010313783,0.354812,0.0005563635,0.00031098508,0.00028732303,0.001172889,0.0096188085,0.00525669],"genre_scores_gemma":[0.9175536,0.00021193914,0.07567869,0.00008310008,0.00004334794,0.00006428418,0.0013409256,0.00006464074,0.00495958],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992275,0.000092144124,0.0000662105,0.00022510634,0.00026145586,0.00012756567],"domain_scores_gemma":[0.9986979,0.0002731367,0.00020904404,0.00021328035,0.0005180313,0.00008858457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075634883,0.00095630164,0.0009367379,0.0029343534,0.00045228028,0.0006909878,0.00083906366,0.0007605572,0.0006251769],"category_scores_gemma":[0.0019755326,0.0002566215,0.0008303061,0.00078466965,0.0002865717,0.0011377725,0.00081562245,0.00091826706,0.000601583],"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":[0.0004500958,0.00065755786,0.0739285,0.00016655563,0.00031161858,0.000563214,0.0002357379,0.11019112,0.037463453,0.0015122134,0.0065054535,0.76801455],"study_design_scores_gemma":[0.000004626771,0.00013522683,0.008452841,0.000007701536,0.000022504877,0.00016638958,0.0000349537,0.9799795,0.009706307,0.0004920271,0.0009773198,0.000020534664],"about_ca_topic_score_codex":0.0070217755,"about_ca_topic_score_gemma":0.007934071,"teacher_disagreement_score":0.0070217755,"about_ca_system_score_codex":0.0006956195,"about_ca_system_score_gemma":0.00056263345,"threshold_uncertainty_score":0.013961852},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Intrusion detection system; Decision tree; Random forest; Classifier (UML); Decision tree learning; Intrusion; Supervised learning; Random tree","score_opus":0.04365403159589058,"score_gpt":0.36776369818223165,"score_spread":0.32410966658634105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034726988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.574276,0.0022522707,0.39659905,0.0016005199,0.00029329464,0.00033323973,0.0006378993,0.0057431418,0.018264676],"genre_scores_gemma":[0.86021423,0.0007501078,0.13618289,0.00017860872,0.00006554494,0.000047176134,0.0008467485,0.00007673349,0.0016379487],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980599,0.0005075584,0.00013753785,0.00028916664,0.0008350334,0.00017085206],"domain_scores_gemma":[0.9946437,0.0024341433,0.00067938626,0.00068163365,0.0014412731,0.00011991994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020988309,0.0007489956,0.0006553168,0.0025826134,0.00047975546,0.0020762258,0.00071717903,0.0006168563,0.0007415621],"category_scores_gemma":[0.007029766,0.00018146464,0.00051664247,0.0015742772,0.00038721025,0.0023496007,0.0007474935,0.0007945206,0.00064549263],"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":[0.00037431373,0.0008246184,0.044019364,0.00030835182,0.00017935636,0.00021935,0.00026140135,0.061086446,0.022553792,0.0033963192,0.004989917,0.8617867],"study_design_scores_gemma":[0.00002611189,0.0006888508,0.024251252,0.000070397895,0.00010075824,0.00037435052,0.00023137947,0.91962886,0.038866304,0.006672135,0.009008143,0.00008144149],"about_ca_topic_score_codex":0.0025973334,"about_ca_topic_score_gemma":0.004844975,"teacher_disagreement_score":0.0025973334,"about_ca_system_score_codex":0.0005402821,"about_ca_system_score_gemma":0.00081375235,"threshold_uncertainty_score":0.011099815},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Deception; Convolutional neural network; Deep learning; Binary classification; Lie detection; Artificial neural network; Voice analysis; Stress (linguistics)","score_opus":0.025962428801819617,"score_gpt":0.3269882991256278,"score_spread":0.30102587032380823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7036975872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50917614,0.0025507263,0.47319075,0.0010117873,0.00031714284,0.00017677213,0.0007227692,0.0014777345,0.011376205],"genre_scores_gemma":[0.9600843,0.0004870969,0.03329883,0.00013275619,0.00006845725,0.000048877133,0.00057635433,0.00003468801,0.0052686366],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974626,0.000044336688,0.000014196435,0.0000489358,0.000079002675,0.00006729597],"domain_scores_gemma":[0.9995485,0.0001394068,0.00007241418,0.000043385593,0.00016076548,0.0000354782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042855702,0.0005284766,0.00036422932,0.00059533666,0.00019177623,0.00057237496,0.00045189244,0.0004794896,0.001501038],"category_scores_gemma":[0.0013374157,0.00013926123,0.00046962313,0.00028406855,0.00020859847,0.0005535706,0.0006654981,0.00087259494,0.0005894461],"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":[0.00060228974,0.00046121186,0.014695558,0.0001795585,0.00019309134,0.0005421272,0.00031923215,0.12807709,0.05752918,0.003211596,0.006305586,0.78788346],"study_design_scores_gemma":[0.000011425877,0.00018107473,0.010329147,0.000034300083,0.000038286886,0.00013138363,0.000093014016,0.9704378,0.014367622,0.0026926964,0.0016610791,0.000022121987],"about_ca_topic_score_codex":0.002152148,"about_ca_topic_score_gemma":0.002555426,"teacher_disagreement_score":0.002152148,"about_ca_system_score_codex":0.00047511575,"about_ca_system_score_gemma":0.00027641287,"threshold_uncertainty_score":0.005021453},"labels":[],"label_agreement":null},{"id":"W7042591336","doi":"","title":"A Qualitative Investigation on the
\\nImpact of Human Resource Information Systems (HRIS)
\\non the Organisation Performance in the
\\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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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)","score_opus":0.03832846867893813,"score_gpt":0.2545798728541738,"score_spread":0.2162514041752357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042591336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89412904,0.0012328951,0.006750208,0.011883346,0.0002376566,0.0020355645,0.0012266124,0.00004951193,0.082454994],"genre_scores_gemma":[0.9682928,0.0011128719,0.002405724,0.0014511389,0.000026343007,0.0007649561,0.00014576412,0.000023724686,0.025776744],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98793066,0.006943016,0.00028772428,0.0006724641,0.0024405306,0.0017256264],"domain_scores_gemma":[0.97604716,0.013900872,0.001366489,0.00077902526,0.005529817,0.0023766444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011534987,0.00027875768,0.00050826214,0.0019771343,0.0152931865,0.0060716085,0.0012623545,0.0010432871,0.005014822],"category_scores_gemma":[0.01591878,0.00031127277,0.00026686993,0.0029230677,0.012973751,0.0019748209,0.0035962483,0.001530117,0.00034264883],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046344452,0.000055550427,0.004151007,0.0003513779,0.0000028463942,0.0005903319,0.96643597,0.00011265424,0.0008464005,0.0105254445,0.0037775207,0.013104557],"study_design_scores_gemma":[0.0000033529534,0.00003217692,0.0037542079,0.0003110165,0.000002698952,0.000073345705,0.9704579,0.00014457971,0.0004084278,0.00040731742,0.024392657,0.0000122382235],"about_ca_topic_score_codex":0.5338869,"about_ca_topic_score_gemma":0.67005193,"teacher_disagreement_score":0.4661131,"about_ca_system_score_codex":0.04506779,"about_ca_system_score_gemma":0.057934634,"threshold_uncertainty_score":0.93771625},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Alexithymia; Toronto Alexithymia Scale; Scale (ratio); Depression (economics); Mental health; Positive attitude","score_opus":0.01924697043211141,"score_gpt":0.28217204309813454,"score_spread":0.2629250726660231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7056366477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99933213,0.000032076525,0.000021416332,0.00004274968,0.000003057343,0.0000054474244,0.000021526086,8.4377916e-7,0.00054078863],"genre_scores_gemma":[0.9994925,0.00003942081,0.000048574795,0.000022836328,0.0000034955042,0.0000054726906,0.000037043803,4.7587503e-7,0.000350149],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996793,0.00009559769,0.000027437824,0.000037755693,0.000090563255,0.00006933549],"domain_scores_gemma":[0.9978638,0.00042392118,0.00084737275,0.000076371805,0.00025260818,0.00053586334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064007414,0.00015014662,0.000157935,0.0004434528,0.0003854524,0.0006882935,0.00016923864,0.00027747962,0.003948612],"category_scores_gemma":[0.0027070802,0.00012678417,0.0003281288,0.00030786867,0.0002961609,0.0003098179,0.00042219,0.0005407865,0.00041708254],"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":[0.000045540462,0.00022144342,0.99513185,0.0000118877815,0.000029182776,0.000028172308,0.00044260456,0.000015938756,0.0002833585,0.000020362197,0.000084915104,0.0036847098],"study_design_scores_gemma":[0.0000021209119,0.00012095927,0.9988992,0.000007130355,0.000008466601,0.00003558201,0.0006438902,0.00006509388,0.00009001471,0.000015284757,0.00011010463,0.000002126157],"about_ca_topic_score_codex":0.0020638264,"about_ca_topic_score_gemma":0.0055069258,"teacher_disagreement_score":0.003948612,"about_ca_system_score_codex":0.00019749643,"about_ca_system_score_gemma":0.00039018516,"threshold_uncertainty_score":0.013209403},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Mental health; Categorization; Sentiment analysis; Social media","score_opus":0.03458079952057325,"score_gpt":0.3346374943487802,"score_spread":0.30005669482820696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7064703920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9489104,0.00040153475,0.0009456954,0.004846994,0.00020712311,0.00009905856,0.03533346,0.00016185748,0.009093853],"genre_scores_gemma":[0.9614227,0.00056150265,0.0019996187,0.0004507014,0.00017142577,0.00011719892,0.030807776,0.000035079927,0.004434079],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997987,0.00005681109,0.0000138599735,0.000036998583,0.000046015888,0.000047691465],"domain_scores_gemma":[0.99916816,0.0004037612,0.0001378143,0.000049592243,0.00014337365,0.0000973296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004985734,0.00027919895,0.00017610623,0.00072306034,0.0003806814,0.00087306736,0.00018590891,0.0005381782,0.00312515],"category_scores_gemma":[0.0030693247,0.00008785726,0.00030506172,0.0007681568,0.00013141043,0.0009267282,0.0005273143,0.0005857459,0.0014022245],"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":[0.00095530733,0.000593768,0.7482908,0.00044849998,0.00015200004,0.0006273974,0.004508851,0.006105181,0.0037459177,0.0020427506,0.10253936,0.12999028],"study_design_scores_gemma":[0.000043964938,0.00041292378,0.8481726,0.00019154535,0.00014221972,0.00028862292,0.015284658,0.07334683,0.0038971365,0.0015561088,0.056566216,0.00009704927],"about_ca_topic_score_codex":0.017354866,"about_ca_topic_score_gemma":0.02742261,"teacher_disagreement_score":0.017354866,"about_ca_system_score_codex":0.00060954306,"about_ca_system_score_gemma":0.0003832041,"threshold_uncertainty_score":0.03450769},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Acculturation; Irish; Immigration; Scale (ratio); Regression analysis; Index of dissimilarity","score_opus":0.02373007147927279,"score_gpt":0.28118538699142176,"score_spread":0.25745531551214895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7112633441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946898,0.00035040898,0.000043447188,0.0004804478,0.000011236359,0.000005460243,0.00001804316,0.0000016838961,0.004399368],"genre_scores_gemma":[0.99935967,0.00021651128,0.000041217718,0.00006550023,0.000005762539,0.00000391083,0.00001250046,8.3845356e-7,0.00029414377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989525,0.00053495436,0.00004694183,0.000056365767,0.00018973043,0.00021957101],"domain_scores_gemma":[0.99857473,0.00036554076,0.0005066355,0.00006190642,0.00021279673,0.00027828454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013833066,0.00010545893,0.00014087638,0.00047185167,0.001173574,0.0016690316,0.00030906324,0.00028402277,0.0017806896],"category_scores_gemma":[0.0034477632,0.000115410454,0.00016652745,0.00041708688,0.0015998405,0.0005486628,0.001578939,0.0006185197,0.00013731718],"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":[0.0001317721,0.00011128965,0.87298965,0.00015694476,0.00003842819,0.00081113254,0.0732668,0.00008123215,0.0006134097,0.000765089,0.00076786487,0.050266422],"study_design_scores_gemma":[0.000004060087,0.00009608118,0.8893418,0.0001433856,0.000011487941,0.00062954007,0.10659508,0.00007258705,0.00011223788,0.00037069546,0.0026080774,0.000015041597],"about_ca_topic_score_codex":0.021948889,"about_ca_topic_score_gemma":0.044646405,"teacher_disagreement_score":0.021948889,"about_ca_system_score_codex":0.001177247,"about_ca_system_score_gemma":0.0021149716,"threshold_uncertainty_score":0.043642223},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Immigration policy; Economic analysis; Economic stability; Government (linguistics); Public policy","score_opus":0.013917117016979001,"score_gpt":0.2492423377336292,"score_spread":0.23532522071665019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115981296","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97428656,0.00070963934,0.00014692315,0.0075650658,0.000050770053,0.00002661098,0.00019739734,0.000005993655,0.017011046],"genre_scores_gemma":[0.9960459,0.0009947931,0.00011642289,0.0006007543,0.000014105864,0.000017051076,0.00012950435,0.000006077795,0.0020754365],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99902284,0.00013692577,0.000021659142,0.00007215329,0.00015131965,0.00059498096],"domain_scores_gemma":[0.9986915,0.00030857997,0.00023423934,0.000042699383,0.00029192315,0.00043101743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013162538,0.00037537114,0.0002687438,0.0019091035,0.010922487,0.005189024,0.001355862,0.0008533615,0.0027785262],"category_scores_gemma":[0.0034458584,0.00018907615,0.0003160037,0.0035247079,0.0052050925,0.0027948353,0.0040591564,0.0018257205,0.00014444884],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041662053,0.000039117425,0.22170913,0.000118884884,0.00002428627,0.0015489793,0.73856467,0.0004825201,0.00040116988,0.0142095685,0.00519045,0.017669542],"study_design_scores_gemma":[0.0000020494756,0.000009808229,0.08547488,0.00010677831,0.000011085925,0.000074477044,0.8982552,0.00039155092,0.00006443005,0.00083861744,0.014749656,0.000021417174],"about_ca_topic_score_codex":0.9680186,"about_ca_topic_score_gemma":0.9778165,"teacher_disagreement_score":0.049802255,"about_ca_system_score_codex":0.049802255,"about_ca_system_score_gemma":0.07566958,"threshold_uncertainty_score":0.36134237},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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)","score_opus":0.054072854100553056,"score_gpt":0.2846014576838745,"score_spread":0.23052860358332145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7120418733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996172,0.00004217116,0.00011816978,0.000258887,0.0000074253303,0.000010058733,0.000019930847,0.000004930451,0.0033664003],"genre_scores_gemma":[0.99834096,0.0000465994,0.00015996845,0.000041207055,0.000003932899,0.0000087526205,0.000037593483,0.0000034036273,0.0013575691],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99806064,0.0005538343,0.000106595355,0.00009533546,0.0005267795,0.00065677974],"domain_scores_gemma":[0.9896259,0.0028605703,0.0021842453,0.0003458459,0.0015677009,0.0034157916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024378132,0.00018155498,0.00014463272,0.0005452709,0.0014432116,0.001915219,0.00040055608,0.00038428933,0.00526238],"category_scores_gemma":[0.008511661,0.00010094571,0.0002742674,0.0004137896,0.00083072984,0.0008198266,0.0011973269,0.00087120343,0.0010270894],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001750719,0.00058626337,0.9078014,0.00009679625,0.000033647444,0.00043536493,0.032709714,0.00054508424,0.0018633775,0.0007499939,0.0023871928,0.052616075],"study_design_scores_gemma":[0.000003881303,0.00038412688,0.92611235,0.00008833199,0.000008825902,0.00012776935,0.06902853,0.0004656294,0.00027922247,0.0002117649,0.0032633364,0.000026247626],"about_ca_topic_score_codex":0.0065905526,"about_ca_topic_score_gemma":0.009834262,"teacher_disagreement_score":0.0065905526,"about_ca_system_score_codex":0.0009622753,"about_ca_system_score_gemma":0.0012567873,"threshold_uncertainty_score":0.01760441},"labels":[],"label_agreement":null}]}