{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":54,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":54,"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"},"query_hash":"d4b729a88efa","filters":{"venue":"Lecture notes in information systems and organisation"}},"results":[{"id":"W3208693767","doi":"10.1007/978-3-030-88900-5_27","title":"Explainable Artificial Intelligence (XAI): How the Visualization of AI Predictions Affects User Cognitive Load and Confidence","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"CLARITY; Computer science; Visualization; Transparency (behavior); Artificial intelligence; Cognitive load; Cognition; Presentation (obstetrics); Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.02349838693404572,"gpt":0.2561526430772192,"spread":0.2326542561431735,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007162843,0.000291346,0.0003523906,0.0002942108,0.0002884256,0.0008202059,0.0002450981,0.0003661856,0.00002559277],"category_scores_gemma":[0.0006990794,0.0002468913,0.00004306542,0.0002982188,0.0001783199,0.002144146,0.0001603416,0.0003487014,0.00001558183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001723925,"about_ca_system_score_gemma":0.0003114958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000214999,"about_ca_topic_score_gemma":0.0002804667,"domain_scores_codex":[0.9980977,0.0001096311,0.0006752965,0.0003243654,0.0005770333,0.0002160142],"domain_scores_gemma":[0.9974441,0.0006955604,0.0006245316,0.0003373697,0.0008374683,0.00006096259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001597553,0.00001209427,0.000105348,0.0004238315,0.00003387764,0.000003421339,0.01572083,0.002731214,0.0001619054,0.9582203,0.00004074274,0.02253044],"study_design_scores_gemma":[0.000550288,0.001027617,0.0006953996,0.007000386,0.0002538713,0.0004002249,0.01326062,0.6252368,0.1118017,0.2208027,0.01658553,0.002384899],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004905394,0.0006641018,0.9944364,0.0007789024,0.0005123907,0.0009619643,0.00002059222,0.00006544266,0.002069623],"genre_scores_gemma":[0.9983285,0.0003261531,0.0003310009,0.0002798899,0.0001165375,0.00004630222,0.00007065549,0.00001736167,0.0004835762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.997838,"threshold_uncertainty_score":0.9999983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2529602603","doi":"10.1007/978-3-319-41402-7_22","title":"A Refined Examination of Worker Age and Stress: Explaining How, and Why, Older Workers Are Especially Techno-Stressed in the Interruption Age","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Technostress in Professional Settings","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Technostress; Workforce; Aging in the American workforce; Psychology; Information Age; Control (management); Social psychology; Computer science; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.02217485031964315,"gpt":0.2709167681042037,"spread":0.2487419177845606,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007375038,0.0003228589,0.0004026826,0.0006701751,0.00009649261,0.0001708179,0.0001597618,0.000843787,0.00004314782],"category_scores_gemma":[0.0002388016,0.0002312023,0.00002778681,0.0001308268,0.0001645055,0.0005185609,0.00008930467,0.0005160156,0.000003396008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000119096,"about_ca_system_score_gemma":0.00001943672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005667095,"about_ca_topic_score_gemma":0.0002649002,"domain_scores_codex":[0.9982632,0.0001261929,0.0007603657,0.000286421,0.0003745821,0.0001892667],"domain_scores_gemma":[0.9979928,0.0005111129,0.001077046,0.0002959086,0.00009356437,0.00002958134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003858943,0.00007193605,0.03083795,0.002111996,0.0001687971,0.00008666766,0.1687972,0.00004432728,0.0007514203,0.09611769,0.0006579406,0.6999682],"study_design_scores_gemma":[0.01051815,0.0006947636,0.7976537,0.05033193,0.0002669569,0.0002848613,0.07486585,0.0003644338,0.0009362362,0.02452668,0.03660293,0.002953473],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7503604,0.009285686,0.07924021,0.009746331,0.004602735,0.01339328,0.001144792,0.0008115182,0.1314151],"genre_scores_gemma":[0.9985647,0.00009133846,0.0001642975,0.0001611121,0.0001218824,0.00008146062,0.0001793675,0.00003040771,0.0006054003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7668158,"threshold_uncertainty_score":0.9428157,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2898877241","doi":"10.1007/978-3-030-01087-4_5","title":"Measuring the Impact of Mind Wandering in Real Time Using an Auditory Evoked Potential","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Mind wandering and attention","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Neurophysiology; Electroencephalography; Mind-wandering; Oddball paradigm; Psychology; Mismatch negativity; Measure (data warehouse); Cognitive psychology; Computer science; Audiology; Event-related potential; Neuroscience; Cognition; Medicine; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.03712258956293461,"gpt":0.2569605504606554,"spread":0.2198379608977208,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004469226,0.0002062659,0.0002566527,0.0003288124,0.000123131,0.0001412675,0.000107855,0.0002771,0.0001035197],"category_scores_gemma":[0.0001044071,0.0001528542,0.00005461564,0.00007388148,0.00007246038,0.0006679614,0.00003606925,0.000221846,0.0000199512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000232252,"about_ca_system_score_gemma":0.00009496192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003540743,"about_ca_topic_score_gemma":0.00002900187,"domain_scores_codex":[0.9986748,0.00007266926,0.0006009081,0.0001784471,0.0003210415,0.0001521089],"domain_scores_gemma":[0.9991017,0.00007937141,0.0005269567,0.0001907138,0.00006735047,0.00003390998],"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":[0.0003383091,0.00006282794,0.00116392,0.000845433,0.00006304582,0.00001015412,0.04469384,0.1910754,0.7408237,0.0005513139,0.00003683603,0.02033525],"study_design_scores_gemma":[0.004582073,0.001299339,0.02218125,0.004574772,0.0001696112,0.0005610021,0.0009704429,0.8685645,0.08697355,0.006970851,0.000713017,0.002439564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869111,0.00003416305,0.008184889,0.000008791827,0.0004865385,0.0005273751,0.00002469539,0.00002512216,0.003797323],"genre_scores_gemma":[0.9994469,0.0000242359,0.00003909198,0.000006729704,0.0002987454,0.00000270812,0.00002751,0.00001796368,0.0001361452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6774892,"threshold_uncertainty_score":0.6233215,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2529721378","doi":"10.1007/978-3-319-41402-7_11","title":"Neural Correlates of Technological Ambivalence: A Research Proposal","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Ambivalence; Psychology; Object (grammar); Neural correlates of consciousness; Social psychology; State (computer science); Neural system; Cognition; Cognitive psychology; Cognitive science; Computer science; Artificial intelligence; Neuroscience","retraction":null,"screen_n_in":null,"score":{"opus":0.01818111208306891,"gpt":0.2782763021826156,"spread":0.2600951900995467,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004495018,0.0001624132,0.0002681642,0.0002497188,0.0001064404,0.00008451568,0.0001160231,0.0003483992,0.0001044864],"category_scores_gemma":[0.00004548187,0.0001210267,0.00004041006,0.00007363754,0.0002321452,0.0003067904,0.000067198,0.0004307238,0.00003534065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006580817,"about_ca_system_score_gemma":0.00009769028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007868595,"about_ca_topic_score_gemma":0.000003203877,"domain_scores_codex":[0.9987946,0.00003783889,0.0005455874,0.0001363703,0.0003262064,0.0001594523],"domain_scores_gemma":[0.9990335,0.000188553,0.0003449038,0.0001557692,0.0002452637,0.00003201632],"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":[0.000009458732,0.000005548256,0.006221871,0.0001109299,0.00001514497,2.103332e-7,0.0007387644,0.000139892,0.00006013005,0.9644166,0.000009137999,0.02827235],"study_design_scores_gemma":[0.001950486,0.0005496463,0.005673608,0.003060878,0.00004919283,0.00001625754,0.001559301,0.01332598,0.0007994858,0.9477187,0.02382415,0.001472331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09909695,0.001685194,0.1922698,0.002620129,0.002210694,0.007667656,0.001259179,0.0003511157,0.6928393],"genre_scores_gemma":[0.9990328,0.00003364518,0.00006150875,0.00001014451,0.0001023297,0.00001692346,0.00006519048,0.00001157996,0.000665903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8999358,"threshold_uncertainty_score":0.4935325,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2769547651","doi":"10.1007/978-3-319-67431-5_9","title":"The Impact of Age and Cognitive Style on E-Commerce Decisions: The Role of Cognitive Bias Susceptibility","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Cognition; Cognitive style; Style (visual arts); Cognitive bias; E-commerce; Psychology; Cognitive psychology; Business; Computer science; Geography; World Wide Web; Archaeology; Neuroscience","retraction":null,"screen_n_in":null,"score":{"opus":0.06932447520783701,"gpt":0.3476705586648605,"spread":0.2783460834570234,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002293736,0.0002373162,0.0004438538,0.0003420512,0.0003887858,0.0003027484,0.0003363304,0.000456712,0.00004729788],"category_scores_gemma":[0.008724844,0.0001187123,0.000103599,0.00008130644,0.0005540968,0.0004073589,0.0001249404,0.000439289,0.0000258172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005249974,"about_ca_system_score_gemma":0.0001038632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002696487,"about_ca_topic_score_gemma":0.0003189874,"domain_scores_codex":[0.9977561,0.0001521079,0.001071907,0.0002152911,0.0006769249,0.0001276694],"domain_scores_gemma":[0.9900934,0.006946933,0.001756334,0.0005145453,0.0006492785,0.0000395257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005549607,0.00005084749,0.09540293,0.00003215505,0.0001651119,0.000002105533,0.02643031,0.0001588148,0.00009417798,0.02373391,0.0001247935,0.8532499],"study_design_scores_gemma":[0.002048502,0.0009825947,0.8413329,0.00188832,0.0001584591,0.00005254773,0.01246449,0.001569264,0.0007031085,0.1344237,0.003790557,0.0005856059],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599233,0.001987986,0.00868117,0.000321537,0.0004138521,0.002808428,0.0006855681,0.00005334811,0.02512485],"genre_scores_gemma":[0.9993429,0.0001935494,0.00001093407,0.00003649835,0.00002427228,0.00001113706,0.00004735254,0.000009639451,0.0003237857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8526643,"threshold_uncertainty_score":0.9996251,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2410481630","doi":"10.1007/978-3-319-18702-0_25","title":"Measuring Flow Using Psychophysiological Data in a Multiplayer Gaming Context","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Flow Experience in Various Fields","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Context (archaeology); Computer science; Flow (mathematics); Personality; Neurophysiology; Cognitive psychology; Psychology; Applied psychology; Human–computer interaction; Social psychology; Neuroscience; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.1300047929332636,"gpt":0.3201801721213582,"spread":0.1901753791880946,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006783236,0.0003248223,0.0004684283,0.0003884817,0.00006988347,0.0001356419,0.0002913967,0.0009955287,0.0002292386],"category_scores_gemma":[0.000287802,0.0002976469,0.00002757282,0.00008558793,0.00006040399,0.0007562666,0.0001357179,0.0006494261,0.0001126041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002901274,"about_ca_system_score_gemma":0.0000846729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009156159,"about_ca_topic_score_gemma":0.0003320585,"domain_scores_codex":[0.9980037,0.00007781658,0.0009310105,0.0003785974,0.0003545613,0.0002543151],"domain_scores_gemma":[0.9985729,0.0001712302,0.0004283458,0.0006468031,0.0001167507,0.00006394822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001047241,0.0001865312,0.009074812,0.001727878,0.0003980105,0.0001204496,0.4504572,0.07271057,0.002337151,0.06288275,0.001980164,0.3970773],"study_design_scores_gemma":[0.01441629,0.0008551531,0.009229306,0.006481688,0.000193284,0.001059507,0.0141683,0.7116985,0.0001852707,0.01779715,0.2178829,0.006032633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1272695,0.01290871,0.6121955,0.0004928948,0.01995467,0.008728483,0.0005858833,0.000671229,0.2171931],"genre_scores_gemma":[0.9976545,0.00002332832,0.001093261,0.0002223468,0.000294378,0.00002305267,0.0003633891,0.00003227425,0.0002934601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.870385,"threshold_uncertainty_score":0.9999475,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3209216367","doi":"10.1007/978-3-030-88900-5_4","title":"Motor Dysfunction Simulation in Able-Bodied Participants for Usability Evaluation of Assistive Technology: A Research Proposal","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Usability; Assistive technology; Human–computer interaction; Computer science; Gesture; Psychology; Applied psychology; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.1404172114009523,"gpt":0.3796353875029352,"spread":0.2392181761019829,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00129546,0.0001965023,0.0003509829,0.001047303,0.0001582815,0.0001107585,0.00007744844,0.0005571168,0.00006798768],"category_scores_gemma":[0.007416638,0.0001904295,0.00004226016,0.0003232301,0.0001140285,0.0007455744,0.00003456424,0.0004706816,0.00001530152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007272989,"about_ca_system_score_gemma":0.000417923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001084811,"about_ca_topic_score_gemma":0.0003273448,"domain_scores_codex":[0.9974597,0.0002523408,0.0009620704,0.0003330894,0.0007608856,0.0002319465],"domain_scores_gemma":[0.9965601,0.001391051,0.0005338688,0.0002648959,0.001215606,0.00003445571],"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":[0.002354965,0.0004758241,0.01152658,0.004570777,0.00013882,0.000004778834,0.02129288,0.5065663,0.144858,0.1120178,0.00008169701,0.1961116],"study_design_scores_gemma":[0.003973901,0.0006833752,0.005380836,0.001676509,0.0001594627,0.00002547299,0.001653938,0.8582734,0.09374636,0.02649598,0.007156744,0.0007739612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7533414,0.0004621589,0.1657935,0.001676273,0.004827441,0.02816503,0.0009739149,0.0003652182,0.04439502],"genre_scores_gemma":[0.9991114,0.00002016757,0.0001010213,0.00002434888,0.00007483381,0.0002371883,0.000122287,0.00001742306,0.0002913374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3517072,"threshold_uncertainty_score":0.8878944,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2406857324","doi":"10.1007/978-3-319-18702-0_23","title":"Proposal for the Use of a Passive BCI to Develop a Neurophysiological Inference Model of IS Constructs","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Brain–computer interface; Toolbox; Neurophysiology; Computer science; Inference; Interface (matter); Field (mathematics); Human–computer interaction; Artificial intelligence; Electroencephalography; Psychology; Neuroscience; Programming language; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.08621902962149129,"gpt":0.2742045241277187,"spread":0.1879854945062274,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001099968,0.0001751902,0.0002975138,0.0001356248,0.00005128334,0.0000838901,0.0001515178,0.0001938588,0.000005297315],"category_scores_gemma":[0.001212877,0.0001104445,0.00002593498,0.00008756492,0.0001050657,0.0003441272,0.00008672106,0.0001441837,0.000003922813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003803234,"about_ca_system_score_gemma":0.0002771789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002328621,"about_ca_topic_score_gemma":0.000006159463,"domain_scores_codex":[0.9988669,0.00002981013,0.0005869116,0.0001581998,0.0002574139,0.000100806],"domain_scores_gemma":[0.9979963,0.000801661,0.000536943,0.0001646397,0.0004666344,0.00003383843],"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":[0.0006309699,0.0000380255,0.0001429258,0.002343703,0.0000705287,0.000001345595,0.05622355,0.3981809,0.09855535,0.3649137,0.001688833,0.07721018],"study_design_scores_gemma":[0.001526818,0.001218522,0.0002163551,0.001298368,0.00007372577,0.00005385958,0.0001837533,0.7712079,0.1600688,0.04093903,0.02224775,0.0009650413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03945553,0.00005393615,0.9542989,0.0007095927,0.0006289964,0.003336809,0.0006770071,0.00004867234,0.000790619],"genre_scores_gemma":[0.9962672,0.00001868667,0.002905165,0.0005930561,0.00003581099,0.00002182545,0.00001658377,0.00001006327,0.0001316201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9568117,"threshold_uncertainty_score":0.4503797,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2898796508","doi":"10.1007/978-3-030-01087-4_8","title":"Paying Attention Doesn’t Always Pay off: The Effects of High Attention Load on Evaluations of Ideas","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Creativity; Set (abstract data type); Phenomenon; Psychology; Subject (documents); Information overload; Cognitive psychology; Social psychology; Computer science; Epistemology","retraction":null,"screen_n_in":null,"score":{"opus":0.01699009232479313,"gpt":0.2950594848374361,"spread":0.278069392512643,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007706382,0.0002417957,0.0003367572,0.0003530968,0.0001532265,0.00006687703,0.0001479595,0.0003350199,0.0002659319],"category_scores_gemma":[0.000527046,0.0001631216,0.00007443246,0.0001542541,0.0001888301,0.0003207035,0.00003145442,0.0002712654,0.0001128818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000181468,"about_ca_system_score_gemma":0.0001167038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002665017,"about_ca_topic_score_gemma":0.00005727216,"domain_scores_codex":[0.9980469,0.00015597,0.0008682889,0.0002301996,0.0005521902,0.000146419],"domain_scores_gemma":[0.9971477,0.0007877555,0.001222287,0.0004240209,0.0003829145,0.00003533055],"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":[0.0006059371,0.0005268396,0.01180819,0.005595523,0.0004622475,0.00000283624,0.1317607,0.001434938,0.02292503,0.5866529,0.004570761,0.2336542],"study_design_scores_gemma":[0.01140276,0.005251539,0.7846938,0.0103954,0.00139742,0.0002246321,0.006056092,0.003583284,0.01620864,0.103864,0.05356854,0.003353913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8297738,0.001350521,0.08064883,0.002219306,0.01906729,0.007799504,0.0002722853,0.0001937023,0.05867474],"genre_scores_gemma":[0.9973036,0.0001020282,0.00003050203,0.0002408561,0.0001712495,0.00005157298,0.0001361282,0.00001912243,0.001944943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7728856,"threshold_uncertainty_score":0.6651908,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1192668054","doi":"10.1007/978-3-319-18702-0_3","title":"The Impact of Interruptions on Technology Usage: Exploring Interdependencies Between Demands from Interruptions, Worker Control, and Role-Based Stress","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Interdependence; Work (physics); Control (management); Affect (linguistics); Mediation; Psychology; Knowledge management; Applied psychology; Social psychology; Business; Risk analysis (engineering); Computer science; Engineering; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.1672733630685353,"gpt":0.3713676142038258,"spread":0.2040942511352905,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001329689,0.0003160133,0.0005026197,0.001223247,0.0002107231,0.0006707532,0.000372855,0.0003652845,0.00006534952],"category_scores_gemma":[0.0006200899,0.0002002044,0.00009765477,0.0002049134,0.0001699936,0.001341678,0.0001259115,0.0004294226,0.00005351915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002316928,"about_ca_system_score_gemma":0.00008888852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000203487,"about_ca_topic_score_gemma":0.0001430233,"domain_scores_codex":[0.9973019,0.00007658545,0.001401412,0.0002207777,0.0008210166,0.0001782822],"domain_scores_gemma":[0.9968454,0.001116868,0.001095268,0.0004125567,0.0004560285,0.00007388653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007415707,0.00004842802,0.2161269,0.0001753263,0.0006564551,0.00000335676,0.03500778,0.03333052,0.0001171321,0.04362727,0.001176193,0.6689891],"study_design_scores_gemma":[0.01574416,0.003746482,0.4557054,0.00843638,0.001012643,0.00004378231,0.04892582,0.1583223,0.0008322475,0.214024,0.08849327,0.004713527],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6669742,0.00314375,0.2991989,0.002047617,0.001886188,0.003889756,0.002546571,0.0003252356,0.01998784],"genre_scores_gemma":[0.9992118,0.00006246121,0.000065069,0.00003444738,0.00009218056,0.00004561828,0.0001957289,0.00001409873,0.0002785917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6642756,"threshold_uncertainty_score":0.8164098,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3209254487","doi":"10.1007/978-3-030-88900-5_23","title":"Does Media Richness Influence the User Experience of Chatbots: A Pilot Study","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"AI in Service Interactions","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Species richness; Psychology; Ecology; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.01429080016679561,"gpt":0.2394239270131371,"spread":0.2251331268463415,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003394343,0.0002555574,0.000328364,0.0002404248,0.0001444149,0.0004085834,0.0005724489,0.0001494335,0.00003507438],"category_scores_gemma":[0.0002228261,0.0001504708,0.00002835757,0.0002092536,0.00006621111,0.001996631,0.0002514521,0.0003388098,0.0000206165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001187339,"about_ca_system_score_gemma":0.000111197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004837894,"about_ca_topic_score_gemma":0.0004766975,"domain_scores_codex":[0.9980959,0.00006876885,0.000882316,0.0002460203,0.0005656324,0.0001413292],"domain_scores_gemma":[0.997534,0.0005657303,0.0007478506,0.0006755819,0.0004386253,0.00003818641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006859029,0.0002354688,0.01613594,0.001246257,0.0002255374,0.00001712772,0.693112,0.0163612,0.0008412116,0.2539091,0.00006370129,0.01778392],"study_design_scores_gemma":[0.01379487,0.008226277,0.3037471,0.01961093,0.0008866201,0.001463257,0.1561964,0.1178558,0.02138257,0.09036371,0.2519909,0.01448162],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1558641,0.000845921,0.8223191,0.00155916,0.006748464,0.004395405,0.00007076193,0.0003341137,0.007862939],"genre_scores_gemma":[0.9987536,0.00004941283,0.0004972072,0.0002795635,0.00009510202,0.00006828096,0.00002105844,0.00001284036,0.0002229521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8428895,"threshold_uncertainty_score":0.613602,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2981968104","doi":"10.1007/978-3-030-28144-1_16","title":"Wavelet Transform Coherence: An Innovative Method to Investigate Social Interaction in NeuroIS","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Popularity; Coherence (philosophical gambling strategy); Computer science; Wavelet transform; Data science; Wavelet; Artificial intelligence; Management science; Psychology; Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.03419869686979797,"gpt":0.2924144516436305,"spread":0.2582157547738325,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004731129,0.0003345658,0.0004197745,0.0007301886,0.00009483006,0.0003368964,0.000178308,0.0004106378,0.0000409949],"category_scores_gemma":[0.0001544997,0.0003084205,0.00003012309,0.0002853007,0.00004223434,0.00147708,0.00004607112,0.0006120174,0.00007225717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002323112,"about_ca_system_score_gemma":0.000118605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001820456,"about_ca_topic_score_gemma":0.0001343804,"domain_scores_codex":[0.9980831,0.0001390398,0.0008588135,0.0003582436,0.000350709,0.0002101208],"domain_scores_gemma":[0.998916,0.0002952513,0.0004356287,0.0001576471,0.0001371994,0.00005828999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004359984,0.00006753003,0.0004480683,0.001840638,0.00004248857,0.00001496179,0.2981287,0.01489216,0.07763386,0.09483945,0.000346422,0.5113097],"study_design_scores_gemma":[0.007355528,0.00316548,0.006804052,0.004825987,0.00008912515,0.0006017448,0.003195266,0.1204179,0.4861877,0.04228089,0.3188724,0.006203931],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2734377,0.00006944905,0.5999532,0.004548281,0.005112956,0.008726933,0.000469361,0.0004830477,0.1071991],"genre_scores_gemma":[0.99597,0.000008832385,0.0008158799,0.002345331,0.0001790395,0.00002574736,0.0001193913,0.00003328017,0.0005025498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7225322,"threshold_uncertainty_score":0.9999368,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3210976891","doi":"10.1007/978-3-030-88900-5_24","title":"Development of a New Dynamic Personalised Emotional Baselining Protocol for Human-Computer Interaction","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Color perception and design","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Protocol (science); Computer science; Human–computer interaction; Psychology; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.05821020611087795,"gpt":0.3451958236407396,"spread":0.2869856175298616,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003081689,0.000222609,0.00031016,0.0003437324,0.0001020607,0.00009280546,0.00005651033,0.0003925043,0.001762424],"category_scores_gemma":[0.00002459898,0.0002198727,0.00006598057,0.00004610038,0.00001540503,0.0002454615,0.00002083943,0.0002010779,0.00004438408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002419776,"about_ca_system_score_gemma":0.0002120507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003037615,"about_ca_topic_score_gemma":0.00008407098,"domain_scores_codex":[0.998478,0.00003267539,0.0009445399,0.0001998844,0.0002282733,0.0001166312],"domain_scores_gemma":[0.9988661,0.0001216202,0.0006318911,0.0001328214,0.00020235,0.000045263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001054351,0.0001539979,0.0002852878,0.004954591,0.0004792194,0.000003737002,0.2964425,0.003343963,0.002071501,0.09489285,0.003484132,0.5928338],"study_design_scores_gemma":[0.01449206,0.0008311616,0.008328286,0.005753756,0.000121692,0.000215495,0.005468278,0.02974129,0.0004290643,0.00407642,0.928434,0.002108534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008275028,0.00001693554,0.9528511,0.0000692135,0.0007455123,0.03591414,0.00003055303,0.00005835267,0.009486684],"genre_scores_gemma":[0.5925627,0.00001170186,0.1627468,0.002956015,0.00507482,0.1546631,0.01502296,0.0004837733,0.06647814],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9249498,"threshold_uncertainty_score":0.9991501,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3096175196","doi":"10.1007/978-3-030-60073-0_17","title":"What Do Users Feel? Towards Affective EEG Correlates of Cybersecurity Notifications","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer security; Baseline (sea); Work (physics); Computer science; Notification system; Electroencephalography; Phenomenon; Psychology; Internet privacy; Applied psychology; Engineering; World Wide Web; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.02043582409851173,"gpt":0.2918113210218617,"spread":0.27137549692335,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002621241,0.0002927365,0.000438594,0.0003604064,0.00008631382,0.0002408179,0.0001330928,0.0005470695,0.0002747657],"category_scores_gemma":[0.0001212936,0.0002912517,0.0001014061,0.0001237626,0.000104889,0.001267385,0.00005315503,0.0004222293,0.0003838823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002898686,"about_ca_system_score_gemma":0.0000784486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000255184,"about_ca_topic_score_gemma":0.00008361506,"domain_scores_codex":[0.9981112,0.00006077247,0.001103552,0.0002548399,0.0003011707,0.0001683996],"domain_scores_gemma":[0.9982607,0.0002250913,0.0009370257,0.0002919093,0.0001910444,0.00009416485],"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":[0.0001761653,0.0001066233,0.001300522,0.002243023,0.0003105857,0.000004136452,0.07147899,0.0003761489,0.00001913113,0.7727829,0.000600872,0.1506009],"study_design_scores_gemma":[0.01584907,0.008026196,0.1191135,0.03936913,0.001625574,0.0008176956,0.05557278,0.005295383,0.003451095,0.4385386,0.3031413,0.009199668],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04232703,0.02003981,0.1178858,0.007322046,0.05071048,0.01894134,0.004263363,0.001046744,0.7374634],"genre_scores_gemma":[0.9979808,0.0001009877,0.0000645628,0.0001584441,0.00007587922,0.00006457539,0.0006336464,0.0000323954,0.0008886647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9556538,"threshold_uncertainty_score":0.999954,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312570697","doi":"10.1007/978-3-031-13064-9_25","title":"Leveraging Affective Friction to Improve Online Creative Collaboration: An Experimental Design","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Eurostars; HEC Montréal; Austrian Science Fund; Deutsche Forschungsgemeinschaft; Natural Sciences and Engineering Research Council of Canada; European Commission; Guarantors of Brain; National Institute for Health and Care Research; Volkswagen Foundation; Wellcome Trust","keywords":"Workgroup; Group cohesiveness; Context (archaeology); Social media; Psychology; Pillar; Cohesion (chemistry); Social psychology; Knowledge management; Human–computer interaction; Computer science; Engineering; World Wide Web; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01876776855818024,"gpt":0.2817615832738707,"spread":0.2629938147156905,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003426455,0.0003083444,0.0003107133,0.0004466001,0.0002530315,0.0001843788,0.00009722212,0.0003419957,0.0008167683],"category_scores_gemma":[0.0000279851,0.0003168003,0.00002870801,0.0001423447,0.00002269336,0.0008839839,0.00004633413,0.0003989946,0.00005545428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006888834,"about_ca_system_score_gemma":0.00009163492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004931774,"about_ca_topic_score_gemma":0.00006129385,"domain_scores_codex":[0.9985707,0.0001041991,0.000556996,0.0003007542,0.0002915271,0.0001757806],"domain_scores_gemma":[0.9989893,0.0001060223,0.0004357634,0.0002512904,0.000142967,0.00007460041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001120012,0.0002694684,0.001165471,0.0003780813,0.0003470574,0.00001502458,0.6582028,0.09477575,0.002835168,0.1446418,0.0007275691,0.09552179],"study_design_scores_gemma":[0.01772061,0.01919108,0.02879068,0.001669541,0.0005469478,0.0006580245,0.1371011,0.2193269,0.006880296,0.0122475,0.5449751,0.01089227],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1452939,0.001618732,0.7279709,0.0005669108,0.01076028,0.00986762,0.001332839,0.0004937755,0.1020951],"genre_scores_gemma":[0.9957263,0.00002547118,0.0007234939,0.0003520392,0.0003769965,0.0001990093,0.001199136,0.0000440699,0.001353467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8504325,"threshold_uncertainty_score":0.9999284,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3095611462","doi":"10.1007/978-3-030-60073-0_33","title":"Ambient Facial Emotion Recognition: A Pilot Study","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Human–computer interaction; Computer science; Emotion recognition; Facial expression; Context (archaeology); Architecture; Multimedia; Artificial intelligence; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.04612347673540825,"gpt":0.2668965311185042,"spread":0.2207730543830959,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003343038,0.0003635862,0.0004138322,0.0004539656,0.0001434397,0.0001965267,0.00008045432,0.0003851654,0.001146361],"category_scores_gemma":[0.00008138912,0.0003608675,0.00004925745,0.0001015969,0.00003793885,0.0004657212,0.00003674949,0.0005087241,0.001911026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001731258,"about_ca_system_score_gemma":0.00004822135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001626447,"about_ca_topic_score_gemma":0.0001079326,"domain_scores_codex":[0.9980091,0.0001127888,0.000975317,0.0003347892,0.0003881581,0.0001798354],"domain_scores_gemma":[0.9988018,0.00008340982,0.0006146694,0.0002068721,0.0001962741,0.00009702612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001499032,0.0009179765,0.002084935,0.001687794,0.000767562,0.00006052525,0.155674,0.0005268519,0.0002514139,0.03618918,0.002889809,0.797451],"study_design_scores_gemma":[0.06424468,0.05751693,0.08936487,0.007207235,0.002773098,0.002057821,0.0453283,0.005784274,0.0007569947,0.1189487,0.5903113,0.01570581],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06016046,0.0009363409,0.1392189,0.001943723,0.01773322,0.01624106,0.0009859804,0.001334838,0.7614455],"genre_scores_gemma":[0.9956758,0.00003929222,0.00005460033,0.000586264,0.0006115548,0.00008289282,0.00148619,0.00004163619,0.001421745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9355153,"threshold_uncertainty_score":0.9998843,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408086434","doi":"10.1007/978-3-031-71385-9_30","title":"Smishing: Exploring How Different Persuasion Techniques Influence Users Emotions, Cognitions, and Identification Accuracy","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; McMaster University Medical Centre","funders":"","keywords":"Persuasion; Identification (biology); Psychology; Cognition; Social psychology; Cognitive psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.02742225110390025,"gpt":0.2503108906266502,"spread":0.22288863952275,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003527128,0.0003423521,0.0003133453,0.001223778,0.0003366727,0.001037955,0.0002700392,0.0004937712,0.000006121049],"category_scores_gemma":[0.0005369799,0.0003353863,0.00003454708,0.0001980528,0.00008207669,0.005154841,0.0001860937,0.0006016251,0.00001094305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003778079,"about_ca_system_score_gemma":0.00006233458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003692133,"about_ca_topic_score_gemma":0.0000195982,"domain_scores_codex":[0.9983383,0.00005261806,0.0007390293,0.0003677489,0.0003304461,0.0001718837],"domain_scores_gemma":[0.9979988,0.0002834843,0.0008101941,0.0003999487,0.0004727052,0.00003483606],"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":[0.00002669245,0.0000323142,0.001189653,0.001509386,0.0001059263,0.000003757358,0.01389555,0.0002072053,0.004728542,0.6089454,0.0003010127,0.3690546],"study_design_scores_gemma":[0.006882984,0.001664368,0.09400839,0.0344632,0.0006955303,0.001270372,0.00843868,0.1419951,0.1822904,0.3225693,0.1943546,0.01136705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02644797,0.0002801424,0.9655519,0.001877252,0.0008982329,0.001512036,0.0000329,0.000599727,0.00279981],"genre_scores_gemma":[0.9968382,0.0006090666,0.001497903,0.0002110486,0.00006853638,0.0001429167,0.0002231626,0.00001606546,0.0003931372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9703902,"threshold_uncertainty_score":0.999999,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2982198666","doi":"10.1007/978-3-030-28144-1_14","title":"What Can NeuroIS Learn from the Replication Crisis in Psychological Science?","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Replication (statistics); Psychological science; Psychology; Cognitive science; Cognitive psychology; Computer science; Social psychology; Biology; Virology","retraction":null,"screen_n_in":null,"score":{"opus":0.0731021751975859,"gpt":0.3354519522584868,"spread":0.2623497770609009,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004004102,0.0002417041,0.0002758658,0.0002420909,0.0002121948,0.0004545252,0.000298086,0.0002892927,0.00003667582],"category_scores_gemma":[0.0003068337,0.0001581759,0.00003397226,0.0002144064,0.0002506951,0.001097533,0.00009157965,0.0005275323,0.0001109685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001248628,"about_ca_system_score_gemma":0.00003891587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002461436,"about_ca_topic_score_gemma":0.0001612051,"domain_scores_codex":[0.9982023,0.0000658345,0.0005832,0.0005484477,0.0004003978,0.0001997885],"domain_scores_gemma":[0.9986781,0.0002912422,0.0003917249,0.0005360636,0.00006821763,0.00003457837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006963893,0.0002992891,0.05926088,0.0005498321,0.00004548235,0.00005785417,0.1247792,0.00289683,0.2567056,0.06547729,0.005372635,0.4838587],"study_design_scores_gemma":[0.009745714,0.002790257,0.4664413,0.003766884,0.0003215116,0.0009174636,0.0110183,0.003740734,0.1065046,0.1137103,0.2736862,0.00735668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564418,0.0007939899,0.0005681316,0.01902529,0.006615547,0.003314021,0.0001364536,0.0001832103,0.01292162],"genre_scores_gemma":[0.994871,0.0006868578,0.000009054803,0.003827594,0.0001053549,0.00001887442,0.00003878945,0.00001270667,0.0004297734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4765021,"threshold_uncertainty_score":0.6450225,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408086449","doi":"10.1007/978-3-031-71385-9_1","title":"Generative AI Review Summaries and Their Impact on Ambivalence and User Behavior: An Eye-Tracking Study","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Ambivalence; Generative grammar; Eye tracking; Tracking (education); Artificial intelligence; Computer science; Psychology; Human–computer interaction; Computer vision; Social psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.03094098733076455,"gpt":0.3605940408538648,"spread":0.3296530535231002,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001240339,0.0002806551,0.0004387542,0.0001761007,0.0006164304,0.0009000752,0.00008827515,0.0004284518,0.00002270679],"category_scores_gemma":[0.0004537078,0.000208941,0.00003378073,0.00007464084,0.0001712394,0.001520484,0.00004082754,0.0004747383,0.000001888451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001766572,"about_ca_system_score_gemma":0.0002435322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002585494,"about_ca_topic_score_gemma":0.002654213,"domain_scores_codex":[0.9986483,0.0001813153,0.0004742002,0.0001983617,0.0003342352,0.0001636074],"domain_scores_gemma":[0.9987814,0.0002989657,0.0003380251,0.0001514326,0.000339067,0.00009108588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008872074,0.0001001306,0.03714239,0.002876267,0.0002160917,0.000005397509,0.6541779,0.0001330705,0.00004705567,0.178583,0.0005773653,0.1260526],"study_design_scores_gemma":[0.006868736,0.007813423,0.3938732,0.05380151,0.002005791,0.00004442038,0.1130574,0.001621732,0.0003732974,0.1144651,0.2964703,0.009605051],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6422514,0.09429543,0.01679432,0.03161152,0.006037461,0.04315182,0.001917173,0.001037153,0.1629037],"genre_scores_gemma":[0.9877124,0.009975237,0.00002492307,0.001577959,0.0001677983,0.00002321229,0.00009057427,0.00001343333,0.000414455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5411205,"threshold_uncertainty_score":0.8679445,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2899309617","doi":"10.1007/978-3-030-01087-4_19","title":"How Attention Networks Can Inform Research in Information Systems","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Construct (python library); Cognitive science; Bridge (graph theory); Computer science; Cognition; Data science; Psychology; Neuroscience","retraction":null,"screen_n_in":null,"score":{"opus":0.04775358202247447,"gpt":0.2655523525456485,"spread":0.217798770523174,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001701487,0.0004370646,0.0005147337,0.001741466,0.0003588883,0.001362544,0.0002203415,0.0008148703,0.00001498637],"category_scores_gemma":[0.003242648,0.0004132683,0.000052391,0.000548525,0.0002200055,0.003915338,0.0001686513,0.0009868579,0.0001377488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051579,"about_ca_system_score_gemma":0.0001854084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004858684,"about_ca_topic_score_gemma":0.0003213916,"domain_scores_codex":[0.9966412,0.000174762,0.001132654,0.0003573861,0.001228527,0.0004654741],"domain_scores_gemma":[0.9960404,0.002005583,0.0007988913,0.0003903879,0.0006806811,0.00008404685],"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":[0.001053637,0.0001202265,0.0109828,0.01199511,0.0002514488,0.00003423406,0.08695664,0.1121901,0.001125903,0.6514664,0.0150792,0.1087443],"study_design_scores_gemma":[0.004053929,0.001004907,0.005553567,0.004576838,0.00005847437,0.0003611583,0.00473337,0.1244001,0.0006294306,0.01229662,0.8396319,0.002699713],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06007241,0.00419766,0.3771641,0.02520225,0.03944383,0.0395465,0.0016176,0.002195449,0.4505602],"genre_scores_gemma":[0.9966118,0.0002717429,0.00002260918,0.000592133,0.000569696,0.0001416801,0.0003510252,0.00003365082,0.001405632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9365394,"threshold_uncertainty_score":0.9998319,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2981975631","doi":"10.1007/978-3-030-28144-1_19","title":"The Impact of Symmetric Web-Design: A Pilot Study","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Color perception and design","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Negativity effect; Electroencephalography; Cognition; Psychology; Event-related potential; Cognitive psychology; Neuroscience","retraction":null,"screen_n_in":null,"score":{"opus":0.04200437715985016,"gpt":0.3009895310844289,"spread":0.2589851539245788,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008389225,0.000268725,0.0003922223,0.0005771064,0.0001028893,0.0001451119,0.0001382693,0.0002571983,0.0005575293],"category_scores_gemma":[0.0001025123,0.0001776302,0.00006295205,0.0001613268,0.00004357086,0.0002148547,0.00002975929,0.0003150017,0.0005135058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002253994,"about_ca_system_score_gemma":0.000161047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005334896,"about_ca_topic_score_gemma":0.00005758172,"domain_scores_codex":[0.9983702,0.0001466791,0.0008427259,0.000167178,0.0003106108,0.0001626554],"domain_scores_gemma":[0.9980494,0.0006785187,0.0006826553,0.0003836324,0.0001659764,0.00003975477],"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":[0.0072448,0.00123657,0.03468261,0.001473568,0.003092364,0.00001718787,0.207021,0.02987951,0.001259555,0.3881477,0.01649047,0.3094546],"study_design_scores_gemma":[0.03815854,0.09331738,0.6573865,0.002099061,0.001133966,0.0007179605,0.01887344,0.03963998,0.00009373063,0.02950468,0.1115192,0.007555614],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06523764,0.004479808,0.1526687,0.0002614125,0.007635401,0.022358,0.0002685083,0.0004228473,0.7466676],"genre_scores_gemma":[0.9958178,0.00006477338,0.00001656045,0.00003709513,0.00009950797,0.00003199251,0.00003961031,0.00002471818,0.003867924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9305802,"threshold_uncertainty_score":0.7243549,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313161296","doi":"10.1007/978-3-031-13064-9_27","title":"Towards Mind Wandering Adaptive Online Learning and Virtual Work Experiences","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Mind wandering and attention","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Work (physics); Mind-wandering; Psychology; Human–computer interaction; Computer science; Cognitive science; Engineering; Neuroscience; Mechanical engineering; Cognition","retraction":null,"screen_n_in":null,"score":{"opus":0.02525229334161107,"gpt":0.2397827138711356,"spread":0.2145304205295245,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002073446,0.0002307967,0.0002466085,0.000260922,0.0003026194,0.0002171604,0.00006813356,0.0002067015,0.0002735212],"category_scores_gemma":[0.0001822043,0.0002143865,0.00002812975,0.0000858539,0.00006811031,0.0005677013,0.0000876164,0.0004596724,0.00001220253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001075161,"about_ca_system_score_gemma":0.0000397584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003085415,"about_ca_topic_score_gemma":0.000008487411,"domain_scores_codex":[0.9987244,0.00005370115,0.000458802,0.0002527941,0.0003620416,0.000148281],"domain_scores_gemma":[0.9993327,0.0001485839,0.0003585859,0.00008383219,0.00002884469,0.00004748253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003419422,0.00003838987,0.0008548317,0.0005167088,0.00004469197,0.00002138422,0.258154,0.01504431,0.003415009,0.03011884,0.00002739949,0.6914225],"study_design_scores_gemma":[0.01084038,0.006924021,0.005106986,0.007203852,0.0003735152,0.001657497,0.1519455,0.09370298,0.03054405,0.010682,0.6707332,0.01028608],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.870843,0.001694096,0.08918841,0.0003121324,0.002959294,0.001971884,0.0001101935,0.0002743206,0.03264665],"genre_scores_gemma":[0.9982064,0.0002174968,0.0001176531,0.00007104727,0.0001168436,0.00002287276,0.00007707618,0.00001808229,0.001152478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6811364,"threshold_uncertainty_score":0.874243,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400980206","doi":"10.1007/978-3-031-58396-4_20","title":"Can We Replicate Impaired Vision with Simulation Glasses in Computer-Based Task? An Eye Tracking Validation Study","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Replicate; Eye tracking; Task (project management); Computer science; Tracking (education); Artificial intelligence; Computer vision; Psychology; Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01731760758355872,"gpt":0.2678919511195458,"spread":0.2505743435359871,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005458961,0.0003629666,0.0004065019,0.0009946857,0.0001181138,0.0007398235,0.0002543303,0.0003890231,0.000002721728],"category_scores_gemma":[0.00003209563,0.0003089748,0.00003039866,0.0003060332,0.00003966374,0.001242794,0.00006540118,0.0004324288,0.00001340159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003184644,"about_ca_system_score_gemma":0.0001198198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001903247,"about_ca_topic_score_gemma":0.0003820283,"domain_scores_codex":[0.9979932,0.0000739506,0.000812602,0.0005030672,0.0004167738,0.0002003896],"domain_scores_gemma":[0.9985366,0.0001824241,0.000533234,0.0005166935,0.0001824215,0.00004866665],"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":[0.00006608355,0.000131985,0.01004041,0.0007656661,0.00005386203,0.00002814451,0.01766542,0.7770894,0.0001875247,0.01739082,0.000004796346,0.1765759],"study_design_scores_gemma":[0.001123047,0.001103687,0.01243294,0.001385367,0.00003316524,0.00001727532,0.0001346467,0.9756778,0.000296768,0.006619144,0.0005573783,0.0006187733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06704107,0.00008367291,0.9297324,0.0006454964,0.0003158543,0.00142134,0.0000149334,0.0005101035,0.000235151],"genre_scores_gemma":[0.9978473,0.00000636038,0.001730621,0.00005807355,0.00007501545,0.00003090097,0.0001924863,0.00002861849,0.00003064164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9308062,"threshold_uncertainty_score":0.9999362,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3095391867","doi":"10.1007/978-3-030-60073-0_22","title":"Nudging to Improve Financial Auditors’ Behavior: Preliminary Results of an Experimental Study","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"Agence Nationale de la Recherche","keywords":"Audit; Nudge theory; Fixation (population genetics); Eye tracking; Accounting; Interface (matter); Duration (music); Psychology; Computer science; Applied psychology; Business; Medicine; Social psychology; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.04694659756459114,"gpt":0.3110911845838883,"spread":0.2641445870192972,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001322684,0.0002631223,0.0003547292,0.0002029247,0.0001241196,0.00006621965,0.0001311968,0.000223429,0.000006852268],"category_scores_gemma":[0.0001698015,0.0002286278,0.00003337014,0.00006415011,0.00005429089,0.000506003,0.0001004283,0.0002660838,0.00002659565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007628561,"about_ca_system_score_gemma":0.0000296201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006444976,"about_ca_topic_score_gemma":0.000018784,"domain_scores_codex":[0.9984031,0.00004546349,0.0007581317,0.0003408406,0.0003218759,0.0001306263],"domain_scores_gemma":[0.9991599,0.00007139205,0.0004514303,0.0001977863,0.00005427282,0.00006516195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005100999,0.001334304,0.002262347,0.0006918685,0.00003419754,0.0001487369,0.2090926,0.0007595376,0.7001204,0.002046189,0.001269378,0.07713942],"study_design_scores_gemma":[0.009351932,0.03876828,0.01662742,0.000715435,0.0002963691,0.0001745555,0.004455012,0.000556584,0.9113401,0.0006699886,0.01415747,0.002886837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904999,0.00006035939,0.0002738571,0.0001998754,0.002615917,0.0031716,0.0002862166,0.0001305239,0.002761761],"genre_scores_gemma":[0.9991586,0.000004075459,0.00003461144,0.000287903,0.0002639755,0.00006193583,0.00003879193,0.00001681313,0.0001333281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2112197,"threshold_uncertainty_score":0.9323172,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4378678860","doi":"10.1007/978-3-031-30351-7_33","title":"Open Engineering Education Tools in the Context of Education 4.0","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Engineering Education and Technology","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Open education; Context (archaeology); Open educational resources; Engineering education; Digital transformation; Open learning; Engineering ethics; Engineering; Mathematics education; Computer science; Engineering management; Sociology; Pedagogy; Teaching method; Geography; World Wide Web; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.0168207410664143,"gpt":0.2411840266683142,"spread":0.2243632856018999,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004481885,0.0001553223,0.0002129122,0.0006305724,0.00003141706,0.0003330614,0.0005903649,0.0002672166,0.000004750788],"category_scores_gemma":[0.0002196681,0.0001335978,0.0000196037,0.0002375249,0.00001491778,0.001001283,0.0001024237,0.0002545999,0.00002620581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001383565,"about_ca_system_score_gemma":0.0004095701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002080363,"about_ca_topic_score_gemma":0.00005531314,"domain_scores_codex":[0.9990103,0.00001884544,0.0005480891,0.0001443472,0.0001801079,0.00009835701],"domain_scores_gemma":[0.9989781,0.0002133537,0.0003066301,0.0003675155,0.0001150223,0.00001937922],"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":[0.000001279138,0.00001384926,0.00009316122,0.0002988603,0.000006103946,1.110112e-7,0.007517092,0.0006830972,0.00002458139,0.8654705,0.0002043726,0.125687],"study_design_scores_gemma":[0.002883716,0.0005396759,0.03471639,0.008283569,0.00007856746,0.0003882085,0.009547828,0.08141086,0.002148548,0.1458458,0.7105804,0.003576453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00541547,0.002469735,0.8535753,0.009098353,0.01437974,0.008982997,0.00005960772,0.0007845731,0.1052342],"genre_scores_gemma":[0.9966231,0.0001214006,0.001678583,0.00043089,0.00008825626,0.0001419567,0.0001678556,0.0000183275,0.0007296471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9912076,"threshold_uncertainty_score":0.5447961,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312661653","doi":"10.1007/978-3-031-13064-9_24","title":"Caption and Observation Based on the Algorithm for Triangulation (COBALT): Preliminary Results from a Beta Trial","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Suite; Workflow; Triangulation; Cobalt; Computer science; BETA (programming language); Software; Ecosystem; Simulation; Data science; Database; Geography; Ecology; Operating system; Archaeology; Cartography; Chemistry; Biology; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.02611223881160609,"gpt":0.2422017095616751,"spread":0.216089470750069,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009771318,0.0002643446,0.0002664974,0.0002847695,0.0003931505,0.0003875892,0.0002322371,0.0003028215,0.00001735478],"category_scores_gemma":[0.0003425259,0.0002199968,0.00005127143,0.0001093135,0.00002865332,0.0006898122,0.00007296752,0.0003753818,0.000008107275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002293953,"about_ca_system_score_gemma":0.0001011628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007743782,"about_ca_topic_score_gemma":0.00001607449,"domain_scores_codex":[0.9981245,0.0001213327,0.0008190129,0.000366711,0.0004352882,0.0001331227],"domain_scores_gemma":[0.996694,0.001749111,0.0009025286,0.0004875174,0.0001266945,0.00004016501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004037908,0.00005010801,0.00006165131,0.0001743208,0.00006146955,6.862663e-7,0.009441162,0.1019342,0.0000364998,0.2367548,0.0002153295,0.6472319],"study_design_scores_gemma":[0.007342204,0.000443191,0.001588668,0.00009086043,0.00002568509,0.000002131291,0.00001920617,0.9703081,0.00002112544,0.007405462,0.01250569,0.0002476488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001235787,0.00007841973,0.9898981,0.003133919,0.0005156297,0.003650313,0.0003485817,0.0001215024,0.001017769],"genre_scores_gemma":[0.9497762,0.00004481235,0.04010287,0.001210336,0.0006893145,0.000996941,0.006842259,0.0000568994,0.0002803799],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9497952,"threshold_uncertainty_score":0.8971207,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400980018","doi":"10.1007/978-3-031-58396-4_12","title":"Investigating the Impact of Mood and Emotion on the Perception of Fake News on Social Media Platforms","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Mood; Social media; Perception; Psychology; Fake news; Internet privacy; Advertising; Social psychology; Computer science; World Wide Web; Business; Neuroscience","retraction":null,"screen_n_in":null,"score":{"opus":0.03822782647484713,"gpt":0.2860549471483494,"spread":0.2478271206735023,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000939661,0.0001873942,0.0002417837,0.0002503494,0.0003033039,0.0002033801,0.00009597455,0.0003568804,0.00009194451],"category_scores_gemma":[0.000605988,0.0001021256,0.0000675066,0.0001250488,0.0002102634,0.0005560791,0.00002199515,0.0003371981,0.00002159604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002034801,"about_ca_system_score_gemma":0.0001385404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006462212,"about_ca_topic_score_gemma":0.0002812121,"domain_scores_codex":[0.998541,0.00004312063,0.0006496201,0.00008747721,0.0005546389,0.000124125],"domain_scores_gemma":[0.9985217,0.0005015685,0.0006913884,0.0001168319,0.0001254007,0.00004305283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002316319,0.000005723815,0.0001758832,0.0002672859,0.00004312711,3.767251e-8,0.5847832,0.001061858,0.00006728282,0.3741035,0.00035592,0.03911304],"study_design_scores_gemma":[0.004099381,0.00189673,0.1526183,0.009442898,0.0004096611,0.00004591122,0.390534,0.02779805,0.0007536512,0.3950468,0.01454718,0.002807372],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7239014,0.0001352439,0.001313333,0.002480976,0.0009047363,0.002326744,0.0002138308,0.00009293035,0.2686308],"genre_scores_gemma":[0.9992249,0.0001483733,0.000009387589,0.0001180922,0.0002482667,0.000002894615,0.0000814876,0.0000109475,0.0001556783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2753235,"threshold_uncertainty_score":0.4164561,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3209618816","doi":"10.1007/978-3-030-88900-5_21","title":"Continuing Doctoral Student Training for NeuroIS and EEG During a Pandemic: A Distance Hands-On Learning Syllabus","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Syllabus; Training (meteorology); Adaptation (eye); Pandemic; Distance education; Psychology; Medical education; Coronavirus disease 2019 (COVID-19); Computer science; Pedagogy; Neuroscience; Medicine; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.03577183074352033,"gpt":0.2705234377781729,"spread":0.2347516070346526,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002515718,0.0002809296,0.0003148709,0.0002936398,0.0003350197,0.0005769617,0.00007420603,0.0001902426,0.00001542879],"category_scores_gemma":[0.0007922457,0.000271859,0.0000418853,0.0001126537,0.00007282279,0.0005693797,0.00003726513,0.0003967246,0.000005863605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001203489,"about_ca_system_score_gemma":0.00006200666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000605323,"about_ca_topic_score_gemma":0.00001801503,"domain_scores_codex":[0.9984152,0.00006855446,0.000545113,0.0004160924,0.0003358361,0.0002191506],"domain_scores_gemma":[0.9987905,0.0004129771,0.0004895814,0.0001198943,0.0001164086,0.00007063238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0012248,0.0001879643,0.03070535,0.005155759,0.00008195918,0.0000500204,0.2307219,0.008755092,0.2475016,0.1135683,0.0000467702,0.3620005],"study_design_scores_gemma":[0.05067364,0.008226242,0.1829251,0.02433502,0.00076764,0.003812415,0.02915648,0.06453833,0.1412326,0.007219805,0.4732593,0.01385345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.894466,0.0003908498,0.09302459,0.0001953131,0.00282442,0.002748323,0.00008033776,0.0002820861,0.005988109],"genre_scores_gemma":[0.9964804,0.0002227974,0.00002982399,0.0003596398,0.0001391089,0.00006021934,0.00003967518,0.00002798168,0.002640374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4732125,"threshold_uncertainty_score":0.9999734,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7118002982","doi":"10.1007/978-3-032-00815-2_29","title":"Evaluating Voice-Based AI for Grammar Learning: Does Richer Media Improve Learning?","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Université du Québec à Montréal; HEC Montréal","funders":"","keywords":"Task (project management); Perception; Generative grammar; Cognition; Generative model; Task analysis; Mode (computer interface); Grammar","retraction":null,"screen_n_in":null,"score":{"opus":0.01499529012203489,"gpt":0.2764280494405955,"spread":0.2614327593185606,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008320599,0.0003599552,0.0003878533,0.0005359371,0.0003079142,0.0007030074,0.0003286994,0.0005740304,0.00003307269],"category_scores_gemma":[0.001186239,0.0003024833,0.00008805486,0.0001469604,0.00003097708,0.001307829,0.0001095045,0.0008626106,0.00004490359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003497955,"about_ca_system_score_gemma":0.000310672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001287836,"about_ca_topic_score_gemma":0.0001030241,"domain_scores_codex":[0.9979313,0.00008951788,0.0009074882,0.0003541802,0.0004740645,0.0002434666],"domain_scores_gemma":[0.9965827,0.001503088,0.0008836669,0.0003368362,0.0006338339,0.00005988681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001550623,0.00004801341,0.001809846,0.005504403,0.0002825888,0.000003038864,0.04481203,0.2148751,0.001057665,0.1859392,0.0006994042,0.5448136],"study_design_scores_gemma":[0.001002038,0.0002425291,0.0001063782,0.0007022821,0.00006470424,0.000007030203,0.0001896901,0.8177679,0.0007139403,0.0110483,0.1675207,0.0006345065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001145162,0.0001480121,0.9890447,0.001127367,0.002059434,0.00116231,0.00001711619,0.0002570555,0.006069541],"genre_scores_gemma":[0.9076936,0.0001258338,0.05740787,0.005245051,0.001865022,0.0007892734,0.002139373,0.0001786724,0.02455526],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9316368,"threshold_uncertainty_score":0.9999427,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4317738104","doi":"10.1007/978-3-031-13064-9_36","title":"Correction to: Information Systems and Neuroscience","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Tying; Computer science; Focus (optics); Cognitive science; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.01745319133242536,"gpt":0.2256119267123699,"spread":0.2081587353799445,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006874983,0.0002549376,0.0002641572,0.0009091885,0.0002510678,0.001476953,0.0002429651,0.0002138026,0.00000180844],"category_scores_gemma":[0.0004435188,0.0002399036,0.00002502347,0.0003813677,0.00004935547,0.004671501,0.0002006621,0.0002728066,0.0001661983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434677,"about_ca_system_score_gemma":0.000116386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002280107,"about_ca_topic_score_gemma":0.00003941595,"domain_scores_codex":[0.9982489,0.00003048443,0.0006764072,0.0002729129,0.0005406968,0.0002305793],"domain_scores_gemma":[0.9987445,0.0002004823,0.0004316503,0.0002538796,0.0002621398,0.0001073635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003236329,0.00001224784,0.001026646,0.00164268,0.00002742454,0.00000789877,0.0507938,0.04196236,0.0006356218,0.38908,0.003121954,0.511657],"study_design_scores_gemma":[0.001073729,0.0005435869,0.0118972,0.002992758,0.00003544189,0.0004254691,0.0009897304,0.6568083,0.000293508,0.007008949,0.3159215,0.002009787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002075366,0.00009024561,0.9701211,0.0003357147,0.007201381,0.001108056,0.0000203507,0.0002707393,0.02064485],"genre_scores_gemma":[0.9943719,0.0002677978,0.0004127059,0.001457631,0.000240251,0.00007296549,0.0001065736,0.00002159561,0.00304859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9941643,"threshold_uncertainty_score":0.9995596,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312812799","doi":"10.1007/978-3-031-13064-9_11","title":"Is Our Ability to Detect Errors an Indicator of Mind Wandering? An Experiment Proposal","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Mind wandering and attention","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mind-wandering; Task (project management); Variety (cybernetics); Cognitive psychology; Computer science; Psychology; Cognitive science; Artificial intelligence; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0282390002044147,"gpt":0.2746477022221931,"spread":0.2464087020177785,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004056802,0.0002422342,0.0002921739,0.0003704627,0.0001615185,0.0001154188,0.0001485515,0.0002361438,0.0002299714],"category_scores_gemma":[0.00009508088,0.0002257278,0.00004074806,0.00008106544,0.00002881716,0.0006943487,0.00006569712,0.0002547262,0.00001964209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001930752,"about_ca_system_score_gemma":0.000107834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009577586,"about_ca_topic_score_gemma":0.00002596626,"domain_scores_codex":[0.998238,0.00007799523,0.0006900231,0.0003337772,0.0005048604,0.0001552934],"domain_scores_gemma":[0.9990207,0.00003496028,0.0004845939,0.0003143183,0.00004444133,0.0001009705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009556336,0.0002799569,0.002896894,0.004079677,0.0000701493,0.00001276466,0.3036735,0.01518965,0.4443086,0.01561552,0.0001321024,0.2127855],"study_design_scores_gemma":[0.003368176,0.005540597,0.004423976,0.0008554204,0.000124723,0.000220813,0.007334181,0.01143408,0.9126834,0.005602856,0.04533134,0.003080403],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729686,0.00008798348,0.01965271,0.0003165748,0.001098608,0.002505397,0.0002218568,0.0001005451,0.003047682],"genre_scores_gemma":[0.9991308,0.000009357812,0.0004099543,0.0001592601,0.00006281878,0.00003842332,0.00007298539,0.00002219278,0.00009421591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4683748,"threshold_uncertainty_score":0.9204913,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7118005768","doi":"10.1007/978-3-032-00815-2_12","title":"The Effect of Age on Willingness to Read Fake News","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Fake news; Variety (cybernetics); Social media; Population; Public opinion; Cognition; News media","retraction":null,"screen_n_in":null,"score":{"opus":0.01138862345400677,"gpt":0.2682122321476447,"spread":0.256823608693638,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00103376,0.0001873678,0.0002877663,0.00024667,0.000342863,0.0003070508,0.0001494517,0.000351495,0.00004135114],"category_scores_gemma":[0.001072125,0.0001281691,0.00004312946,0.0001332885,0.00009447194,0.0004001323,0.00002516073,0.0002084921,0.00005439278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001896354,"about_ca_system_score_gemma":0.0001272584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000877957,"about_ca_topic_score_gemma":0.001076672,"domain_scores_codex":[0.9985299,0.00008746711,0.000636756,0.00009107402,0.000494672,0.0001601441],"domain_scores_gemma":[0.9984301,0.0007446824,0.0004373381,0.0002021774,0.0001173313,0.00006842001],"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":[0.0001647889,0.000003372533,0.0002220498,0.0006836701,0.00004297086,6.26592e-7,0.1085624,0.001993063,0.00000860011,0.4516723,0.002499079,0.4341471],"study_design_scores_gemma":[0.0006160355,0.0003448723,0.0003721278,0.001191608,0.00003072328,0.00000163686,0.002008934,0.0002379415,0.0002615769,0.002332222,0.9922428,0.0003595746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002487857,0.0002277585,0.01329465,0.001640908,0.001708824,0.002670239,0.00005220319,0.00008916613,0.9778284],"genre_scores_gemma":[0.9830502,0.0004462815,0.0000469726,0.0008704562,0.0002783371,0.00001593713,0.0001311646,0.00001642892,0.01514424],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9897436,"threshold_uncertainty_score":0.5226585,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400979716","doi":"10.1007/978-3-031-58396-4_2","title":"RACE: A Real-Time Architecture for Cognitive State Estimation, Development Overview and Study in Progress","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; HEC Montréal","funders":"","keywords":"Race (biology); Architecture; Estimation; State (computer science); Cognition; Computer science; Psychology; Geography; Engineering; Sociology; Systems engineering; Programming language; Archaeology; Neuroscience; Gender studies","retraction":null,"screen_n_in":null,"score":{"opus":0.02181131579722479,"gpt":0.2788918031770463,"spread":0.2570804873798215,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004049198,0.0003158202,0.0003825186,0.0004661314,0.0001007286,0.0004349987,0.00008402223,0.0001888866,0.000009469563],"category_scores_gemma":[0.0001405774,0.0002613137,0.00002237798,0.000101994,0.0000553331,0.000413879,0.00007669019,0.0002650443,0.00002669012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001221387,"about_ca_system_score_gemma":0.00009500379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002411663,"about_ca_topic_score_gemma":0.000084847,"domain_scores_codex":[0.998389,0.00004803092,0.0007626176,0.0003382986,0.0002879052,0.0001741266],"domain_scores_gemma":[0.9989455,0.0004844822,0.0003384583,0.0001056495,0.00008322232,0.00004265118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004769806,0.0001514899,0.001563887,0.01203091,0.0001732641,0.00003556624,0.381556,0.009305521,0.0007509385,0.01105846,0.0001411223,0.5827559],"study_design_scores_gemma":[0.03080851,0.007598654,0.02459508,0.068105,0.0008945511,0.00160234,0.006677425,0.4379724,0.04887437,0.1981011,0.1613104,0.01346011],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6993139,0.007484223,0.2297706,0.001914058,0.002898213,0.04149359,0.001066361,0.001068337,0.01499071],"genre_scores_gemma":[0.9971977,0.0001439044,0.0008992716,0.0001775085,0.00005901167,0.0002291613,0.0001523263,0.00004376768,0.001097296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5692958,"threshold_uncertainty_score":0.9999839,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7117978335","doi":"10.1007/978-3-032-00815-2_17","title":"Pathways to Optimal Learning: Task Load-Driven Neuroadaptive Adaptation and Motivational Incentives","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Task (project management); Adaptation (eye); Incentive; Brain–computer interface; Electroencephalography; Cognition; Motor learning; Task switching","retraction":null,"screen_n_in":null,"score":{"opus":0.02042365896049854,"gpt":0.2225719539292514,"spread":0.2021482949687529,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001882473,0.0003039579,0.0002971017,0.0004139012,0.0001957716,0.0003541571,0.0001187404,0.0002753121,0.00001780066],"category_scores_gemma":[0.0005724829,0.0002870954,0.00003148059,0.0001148375,0.00006497301,0.0007915649,0.0001213843,0.0004042429,0.00002712858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001884717,"about_ca_system_score_gemma":0.0001474236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003361072,"about_ca_topic_score_gemma":0.00001654267,"domain_scores_codex":[0.9983884,0.00007973527,0.0005744638,0.0003589616,0.0004289759,0.0001695012],"domain_scores_gemma":[0.9987339,0.0005149352,0.0003871505,0.0001232611,0.0001750363,0.00006575136],"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":[0.0004295918,0.00005621484,0.001145457,0.001471178,0.00009377624,0.00001569309,0.182991,0.4433871,0.026161,0.2222394,0.0006610284,0.1213486],"study_design_scores_gemma":[0.004494668,0.00211573,0.006086312,0.004916445,0.0001429421,0.0001911619,0.004235919,0.6947644,0.03451034,0.01129341,0.2335375,0.003711172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1098622,0.0004719534,0.835534,0.001264316,0.001944391,0.003618956,0.0003065605,0.0004092577,0.0465884],"genre_scores_gemma":[0.9972243,0.00007385257,0.0006243217,0.00060562,0.0001164671,0.0000209996,0.00009265526,0.00001831357,0.001223504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8873621,"threshold_uncertainty_score":0.9999581,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7117980279","doi":"10.1007/978-3-032-00815-2_11","title":"Leveraging NeuroIS to Develop Profiles of User Susceptibility to Health Misinformation","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Misinformation; Categorization; Social media; Health communication; Vulnerability (computing); Qualitative analysis; Psychological intervention","retraction":null,"screen_n_in":null,"score":{"opus":0.02488231462032936,"gpt":0.2889261759229521,"spread":0.2640438613026227,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00154978,0.0002460177,0.0004259825,0.0008666044,0.0002993819,0.0002843729,0.0001642065,0.0003181299,0.0001062184],"category_scores_gemma":[0.001488875,0.0002429976,0.00003402678,0.0004480236,0.000043623,0.001284377,0.00006612982,0.0002189852,0.00008095632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006193817,"about_ca_system_score_gemma":0.001115456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001656463,"about_ca_topic_score_gemma":0.0009327517,"domain_scores_codex":[0.9975008,0.00008225536,0.00133886,0.0001563492,0.0006536467,0.0002680467],"domain_scores_gemma":[0.9980047,0.0001784318,0.000711961,0.0002375231,0.0006736219,0.0001938081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007688326,0.00001287967,0.0007297783,0.002177709,0.00003295195,2.061356e-7,0.6909125,0.004628418,0.00003331391,0.1114467,0.00737615,0.1825725],"study_design_scores_gemma":[0.000967115,0.0002859172,0.01189567,0.002823191,0.00002716331,0.00000636647,0.01595323,0.0009439367,0.0004711381,0.001868232,0.9636445,0.00111354],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02665101,0.000298263,0.5231709,0.01481795,0.003139941,0.01247643,0.0003860252,0.0004531586,0.4186063],"genre_scores_gemma":[0.9872993,0.0001540146,0.002254056,0.004885387,0.0001634659,0.00001505253,0.0003927863,0.00002069352,0.004815282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9606482,"threshold_uncertainty_score":0.9909156,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408086444","doi":"10.1007/978-3-031-71385-9_5","title":"Trust and Compliance in Financial Services: A Comparative Study of Human-Led Versus AI-Led Teams Using Behavioral and Neuroscientific Measures","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Compliance (psychology); Human services; Psychology; Behavioral economics; Business; Finance; Social psychology; Political science; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.0928043480349841,"gpt":0.3781341074125244,"spread":0.2853297593775403,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006881793,0.0001844049,0.0004310261,0.000296998,0.0004746173,0.0004020317,0.00009017101,0.0003700016,0.000004425988],"category_scores_gemma":[0.0001149644,0.0001861146,0.00001887133,0.0001422192,0.0002055776,0.0007226303,0.00004911601,0.0003501487,4.247558e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001602324,"about_ca_system_score_gemma":0.0001977118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01018559,"about_ca_topic_score_gemma":0.03283606,"domain_scores_codex":[0.9986048,0.0001206979,0.0005591202,0.0001802683,0.0003932742,0.0001418387],"domain_scores_gemma":[0.9989926,0.0001554846,0.0004220477,0.00009753692,0.0002856584,0.00004666131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002212627,0.0001245566,0.01840108,0.001123118,0.00003897928,0.000002802861,0.9266851,0.0005431261,0.0004009353,0.04760141,0.00001363511,0.004844023],"study_design_scores_gemma":[0.04917432,0.007100582,0.2374918,0.01911454,0.001457507,0.0000189189,0.5545539,0.03221647,0.0006440486,0.07312913,0.01774574,0.007353017],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990487,0.0002616863,0.0003421458,0.00009659573,0.0007594106,0.001529569,0.00004413144,0.00002357821,0.006455865],"genre_scores_gemma":[0.9996634,0.00004644467,0.00002301743,0.00005339126,0.00005419502,0.000006201129,0.00002280076,0.000005983056,0.0001245494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3721312,"threshold_uncertainty_score":0.9964057,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408116421","doi":"10.1007/978-3-031-71385-9_35","title":"Neurophysiological Approaches for Understanding Information Seeking Behavior: A NeuroIS 2024 Panel","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Neurophysiology; Psychology; Neuroscience","retraction":null,"screen_n_in":null,"score":{"opus":0.2302439585583724,"gpt":0.3068141315827713,"spread":0.07657017302439886,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001481196,0.0003498641,0.0003883603,0.0004086578,0.0003106861,0.0002780106,0.0001357248,0.0004257958,0.00001626823],"category_scores_gemma":[0.0002286272,0.0002871738,0.00007842021,0.0001125615,0.0001111592,0.001043829,0.00008747518,0.0004243524,0.00002438587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001706499,"about_ca_system_score_gemma":0.00003440188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001525002,"about_ca_topic_score_gemma":0.000006164881,"domain_scores_codex":[0.9984478,0.00004431087,0.0007451515,0.0002877971,0.0002482198,0.0002266806],"domain_scores_gemma":[0.9988999,0.0003543232,0.0004710969,0.0001800848,0.00005423756,0.00004030417],"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":[0.001184497,0.0002153698,0.00284248,0.00755528,0.0001237636,0.00003837546,0.0225736,0.005854241,0.03876567,0.6163239,0.004470925,0.3000519],"study_design_scores_gemma":[0.02010957,0.007026534,0.01590799,0.006225131,0.002459321,0.001482224,0.006694695,0.08685095,0.02261664,0.327043,0.4892178,0.0143662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05310426,0.0007668558,0.7235072,0.004395635,0.01863229,0.02265901,0.002116974,0.001474803,0.173343],"genre_scores_gemma":[0.9973059,0.0001108594,0.00007106898,0.00103291,0.0001213722,0.0001346993,0.000175943,0.0000166362,0.001030596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9442016,"threshold_uncertainty_score":0.999958,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408086404","doi":"10.1007/978-3-031-71385-9_12","title":"Recruitment and EDI Challenges in NeuroIS Research: A Case for Mobile Research Infrastructure","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; McMaster University Medical Centre","funders":"","keywords":"Business; Knowledge management; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.2005292800675783,"gpt":0.3672153779015254,"spread":0.1666860978339471,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003769153,0.0002882102,0.000481468,0.00191868,0.0003019061,0.0006533236,0.0002684278,0.0006211735,0.000007816992],"category_scores_gemma":[0.0005662884,0.0002763001,0.00003770273,0.0003070109,0.0000941143,0.001223612,0.0003554432,0.0009403478,0.00001105483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004880734,"about_ca_system_score_gemma":0.0002863461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003725534,"about_ca_topic_score_gemma":0.0009866161,"domain_scores_codex":[0.9972322,0.000347359,0.0008349221,0.0005076663,0.0006709769,0.0004068595],"domain_scores_gemma":[0.9961367,0.002285476,0.0002819153,0.0004957816,0.0007124214,0.00008772148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004813539,0.0000182913,0.0001133621,0.002714509,0.00003610946,0.00005360431,0.03243636,0.000237572,0.0000378781,0.05987546,0.0006373663,0.9037914],"study_design_scores_gemma":[0.003909689,0.001374472,0.0007909478,0.005312257,0.00002795528,0.002774815,0.00523558,0.04601128,0.0003776937,0.08663291,0.8460089,0.001543508],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01497036,0.04578042,0.7538221,0.01113001,0.007956693,0.06672937,0.0008492636,0.0008654877,0.09789626],"genre_scores_gemma":[0.9946526,0.00205722,0.0007645032,0.0001096132,0.0002754487,0.00129395,0.00008394149,0.00002965196,0.0007331069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9796822,"threshold_uncertainty_score":0.9999689,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312932900","doi":"10.1007/978-3-031-13064-9_21","title":"Mixed Emotions: Evaluating Reactions to Dynamic Technology Feedback with NeuroIS","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Chatbot; Computer science; Context (archaeology); Human–computer interaction; Psychology; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.01736295863721654,"gpt":0.2498881970995755,"spread":0.232525238462359,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000327987,0.0003003313,0.000297743,0.001252818,0.0003754142,0.000368143,0.0003915388,0.000290103,0.000112683],"category_scores_gemma":[0.0001673829,0.0002906129,0.00003414155,0.0004968995,0.0000312035,0.00161427,0.0002403409,0.0006750765,0.0001576072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006017792,"about_ca_system_score_gemma":0.0001760966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001776209,"about_ca_topic_score_gemma":0.0002394898,"domain_scores_codex":[0.9981266,0.00005311306,0.0007667747,0.0003498068,0.000496946,0.0002067926],"domain_scores_gemma":[0.9981658,0.0002415559,0.0006181077,0.0006161857,0.0002951725,0.00006311646],"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":[0.00006984182,0.00005775682,0.0003296003,0.0009258214,0.0002004951,0.00001586679,0.02580542,0.2237985,0.001181829,0.5184124,0.0003204017,0.2288821],"study_design_scores_gemma":[0.002135017,0.002136614,0.002888118,0.002247666,0.0001688427,0.002525974,0.002245842,0.4131335,0.0003212852,0.03978087,0.5294943,0.002921931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002629627,0.0001103137,0.9765287,0.004621863,0.001558077,0.001516696,0.00004232447,0.0004604615,0.01253191],"genre_scores_gemma":[0.9613768,0.00009156317,0.03430542,0.001109313,0.0001308714,0.0003323352,0.0003307938,0.00008127977,0.002241623],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9587471,"threshold_uncertainty_score":0.9999546,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405888466","doi":"10.1007/978-3-031-65782-5_24","title":"Soft Skills for Responsible Leadership in the Digital Age: A Framework for Future Leaders","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Soft skills; Psychology; Sociology; Knowledge management; Management; Computer science; Social psychology; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.06063501376393961,"gpt":0.3174871262147647,"spread":0.2568521124508251,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001278725,0.0001989947,0.0002402278,0.0002630102,0.0002496964,0.0008289069,0.0001642254,0.0007087741,0.00003030546],"category_scores_gemma":[0.000975132,0.0001555906,0.00007950139,0.0001519238,0.0001524487,0.0004893723,0.00001053201,0.0003816463,0.00003615248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002788775,"about_ca_system_score_gemma":0.0003327586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001078815,"about_ca_topic_score_gemma":0.0007960675,"domain_scores_codex":[0.9986643,0.00005019534,0.0005203999,0.0001930407,0.0003228437,0.0002492333],"domain_scores_gemma":[0.9979931,0.001472819,0.0001969491,0.0001797536,0.0001123918,0.00004502241],"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":[0.00004108205,0.00001193131,0.0003382427,0.0008755,0.00001562045,3.228064e-7,0.3000018,0.00007794749,5.977639e-7,0.6829508,0.0006854514,0.01500066],"study_design_scores_gemma":[0.0002397758,0.00005051502,0.0003138272,0.0004156565,0.00002121229,0.000002241119,0.02429512,0.00003101296,0.00000449087,0.2708076,0.7035493,0.0002692495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005261529,0.008563592,0.5696329,0.2099091,0.02364208,0.03588678,0.001643449,0.000990128,0.1444704],"genre_scores_gemma":[0.9847268,0.00007655456,0.001193163,0.002153447,0.002175887,0.0003357377,0.0005316843,0.00004310384,0.008763627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9794652,"threshold_uncertainty_score":0.7993168,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2981887389","doi":"10.1007/978-3-030-28144-1_31","title":"Improved Calibration of Neurophysiological Measures Tools","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Baseline (sea); Task (project management); Calibration; Neurophysiology; Context (archaeology); Computer science; Focus (optics); Test (biology); Multiple baseline design; Psychology; Artificial intelligence; Physical medicine and rehabilitation; Statistics; Engineering; Mathematics; Medicine; Neuroscience","retraction":null,"screen_n_in":null,"score":{"opus":0.02864347959765874,"gpt":0.2294029200480792,"spread":0.2007594404504205,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000150881,0.0002296646,0.0003511829,0.0001991672,0.00004964039,0.0001904609,0.0001375413,0.0003558381,0.00003264195],"category_scores_gemma":[0.0003173001,0.0001798619,0.00004747111,0.00005160542,0.00005820448,0.0007767737,0.00005619005,0.0002654804,0.00001598531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000466527,"about_ca_system_score_gemma":0.00006148137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002234949,"about_ca_topic_score_gemma":0.000004038689,"domain_scores_codex":[0.9986386,0.00006141119,0.000681155,0.0002199385,0.0002775309,0.000121345],"domain_scores_gemma":[0.9987321,0.000390871,0.0005685167,0.0002020281,0.00007691213,0.00002950969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003045654,0.00004534331,0.0002116335,0.002501636,0.00004571124,0.000004182705,0.009530816,0.02564075,0.7055292,0.1309521,0.000209764,0.1250244],"study_design_scores_gemma":[0.003573229,0.002422041,0.001538144,0.002186009,0.0001038436,0.0002049679,0.0001902244,0.2576948,0.6376362,0.01414653,0.07749386,0.002810063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.106956,0.0008581826,0.8083383,0.000829336,0.007016937,0.007570679,0.0006484495,0.0005881721,0.06719397],"genre_scores_gemma":[0.998809,0.00006499115,0.00008984383,0.0003882964,0.0001105956,0.000005469665,0.00006409525,0.00001578317,0.0004519058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.891853,"threshold_uncertainty_score":0.7334554,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408086335","doi":"10.1007/978-3-031-71385-9_14","title":"Identifying Neural Correlates of Motor Learning in a Naturalistic VR-Based Motor Task","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Motor learning; Task (project management); Psychology; Neural correlates of consciousness; Computer science; Cognitive psychology; Neuroscience; Engineering; Cognition","retraction":null,"screen_n_in":null,"score":{"opus":0.01612149791748546,"gpt":0.2421933377113927,"spread":0.2260718397939072,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002339732,0.0002586023,0.0003773321,0.0007137505,0.00008263064,0.0002084364,0.0001578352,0.0003537228,0.00001960642],"category_scores_gemma":[0.0006568806,0.0002346191,0.00005358216,0.0001307352,0.00005753131,0.0005182445,0.0000567828,0.0005857512,0.0000102925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001377216,"about_ca_system_score_gemma":0.0000765251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001141937,"about_ca_topic_score_gemma":0.00002724234,"domain_scores_codex":[0.9983782,0.00007744509,0.000844495,0.0002325501,0.0003069229,0.0001604351],"domain_scores_gemma":[0.9983782,0.0007517799,0.0006142273,0.0001465874,0.00008026244,0.00002894821],"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":[0.001295307,0.0001592264,0.02299958,0.02886072,0.0001605655,0.00008551251,0.08418252,0.3439775,0.2144618,0.1072915,0.000289312,0.1962364],"study_design_scores_gemma":[0.003229098,0.0006659265,0.006207244,0.009439488,0.00009260828,0.0000954533,0.0004225433,0.9286674,0.03372954,0.004958093,0.01076778,0.001724875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6052932,0.0050198,0.319101,0.001139333,0.01453837,0.01018877,0.0007312949,0.001071924,0.04291629],"genre_scores_gemma":[0.9985942,0.0000265156,0.00009574522,0.0002143311,0.0000530962,0.00001166897,0.00006786798,0.00001475466,0.000921774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5846898,"threshold_uncertainty_score":0.9567489,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408086400","doi":"10.1007/978-3-031-71385-9_29","title":"Comparing the Visual Processing of Words and Icons for Functional Illiterates in an Online Banking Context","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Context (archaeology); Computer science; Psychology; History","retraction":null,"screen_n_in":null,"score":{"opus":0.05391042293799973,"gpt":0.3079838054400494,"spread":0.2540733825020497,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003276488,0.0001574592,0.0002757082,0.0003353343,0.00009366796,0.0001320153,0.00004480514,0.0002601203,0.00008316855],"category_scores_gemma":[0.00004353667,0.000125597,0.00002236344,0.00006714868,0.00005525695,0.0003051512,0.00001715071,0.0002004934,0.000001878463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006725116,"about_ca_system_score_gemma":0.00006132743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007603267,"about_ca_topic_score_gemma":0.0005031583,"domain_scores_codex":[0.9990001,0.00004099378,0.0006095286,0.0001386778,0.0001146474,0.00009607516],"domain_scores_gemma":[0.9991639,0.0002788061,0.0003188472,0.00008904003,0.000130387,0.0000190341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00100067,0.0001110776,0.04976391,0.002590703,0.0001170488,0.000001008624,0.1974961,0.002748701,0.000395795,0.1750799,0.0001685819,0.5705265],"study_design_scores_gemma":[0.01783066,0.001803175,0.418456,0.01014595,0.0004135924,0.0002144838,0.05283757,0.3871647,0.0002307806,0.02774353,0.08006234,0.003097279],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4146822,0.004160122,0.5473593,0.0005550674,0.002160258,0.004796492,0.000248945,0.0001410076,0.02589651],"genre_scores_gemma":[0.9987141,0.00001369398,0.00008733345,0.0002706359,0.0001063828,0.00003356164,0.000390967,0.000009578914,0.0003736987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5840319,"threshold_uncertainty_score":0.5121695,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408086368","doi":"10.1007/978-3-031-71385-9_34","title":"Predicting User Satisfaction and Recommendation Intentions: A Machine Learning Approach Using Psychophysiological and Self-Reported Data","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Psychology; Computer science; User satisfaction; Applied psychology; Cognitive psychology; Artificial intelligence; Machine learning; Human–computer interaction","retraction":null,"screen_n_in":null,"score":{"opus":0.03640692384342489,"gpt":0.2878687878387324,"spread":0.2514618639953075,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001398794,0.0001739519,0.0002507968,0.0002128856,0.0004955951,0.0004300284,0.00005620763,0.0004220075,0.00001016027],"category_scores_gemma":[0.00155199,0.000167006,0.00001632254,0.00009297355,0.00008307395,0.001099735,0.00009491578,0.0003681892,7.557937e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000148845,"about_ca_system_score_gemma":0.00009838565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001618703,"about_ca_topic_score_gemma":0.0004824447,"domain_scores_codex":[0.9986534,0.0001757108,0.0005340049,0.0002497021,0.0002556026,0.000131625],"domain_scores_gemma":[0.9988984,0.0003156532,0.000498319,0.0001150541,0.0001197638,0.00005275441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001309153,0.00006684831,0.1438393,0.002509458,0.0005200891,0.000001787538,0.0751522,0.0007567979,0.0001147149,0.04906199,0.0001386736,0.7277071],"study_design_scores_gemma":[0.004450673,0.0004268609,0.07164051,0.005358357,0.001140448,0.0001269112,0.0193155,0.6103175,0.000009005629,0.0229742,0.2609083,0.003331759],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1749928,0.003746839,0.295181,0.001937121,0.005940718,0.008580782,0.0005141132,0.001772043,0.5073345],"genre_scores_gemma":[0.9952723,0.001476369,0.001537071,0.00007605415,0.0002299648,0.00001132449,0.0009923232,0.00001355474,0.0003909943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8202795,"threshold_uncertainty_score":0.6810309,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408086357","doi":"10.1007/978-3-031-71385-9_9","title":"Investigating the Impact of Fluency Manipulations on Belief in Fake News on Social Media Platforms","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Fluency; Social media; Fake news; Psychology; Computer science; Internet privacy; Social psychology; World Wide Web; Mathematics education","retraction":null,"screen_n_in":null,"score":{"opus":0.04341101259021886,"gpt":0.3047743965795696,"spread":0.2613633839893508,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007421258,0.0002410926,0.0003313475,0.0006394989,0.0003747828,0.0002023592,0.0001564476,0.0005095716,0.0001035188],"category_scores_gemma":[0.001228906,0.0001700839,0.00007690151,0.0002579148,0.000119148,0.0007905988,0.00002414717,0.0004472485,0.00002999073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005219564,"about_ca_system_score_gemma":0.0004321568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00144157,"about_ca_topic_score_gemma":0.001773923,"domain_scores_codex":[0.9980897,0.00005115922,0.0009529485,0.0001131637,0.0005887519,0.0002043171],"domain_scores_gemma":[0.9982413,0.0006447051,0.0007543251,0.0001601764,0.0001399254,0.00005953757],"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":[0.00002485987,0.0000132195,0.0007234932,0.0001645849,0.00002926039,2.039084e-7,0.2919081,0.009886093,0.000005479077,0.6554052,0.0007696755,0.04106978],"study_design_scores_gemma":[0.009864117,0.001222237,0.2427001,0.0122513,0.0002229501,0.00001935205,0.07850405,0.02530403,0.0003375778,0.5623352,0.06246137,0.00477777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08729413,0.0001853636,0.003271033,0.001781074,0.001348668,0.003472763,0.0002901106,0.0001505117,0.9022064],"genre_scores_gemma":[0.9985563,0.00009853476,0.00002761285,0.0003602816,0.0002064795,0.000006623514,0.000220916,0.00001093593,0.000512314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9112622,"threshold_uncertainty_score":0.6935822,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400980066","doi":"10.1007/978-3-031-58396-4_13","title":"Connecting Values: The Research Potential of Sustainable Engagement","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Community Health and Development","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.07909351187550755,"gpt":0.3947633548016908,"spread":0.3156698429261832,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005805153,0.0001670713,0.0002819308,0.0005415886,0.001229834,0.00007861848,0.0001463164,0.0004357495,0.0002114119],"category_scores_gemma":[0.0006752078,0.0001190774,0.00002966048,0.0001417624,0.00004685241,0.0002289517,0.000290919,0.001934882,0.0001607074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006030456,"about_ca_system_score_gemma":0.0006547102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598652,"about_ca_topic_score_gemma":0.000191971,"domain_scores_codex":[0.9975069,0.0003856829,0.001098281,0.0001228646,0.0005417599,0.0003445575],"domain_scores_gemma":[0.9969657,0.001642046,0.0004299935,0.000297116,0.0006112318,0.00005389291],"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":[0.00007011573,0.000007883516,0.0001537635,0.01348134,0.00006063357,0.000004182795,0.2218124,0.001033147,0.00001474919,0.7525169,0.001483484,0.009361402],"study_design_scores_gemma":[0.0007874962,0.0001527733,0.0004886389,0.003371798,0.00004220925,0.00001201408,0.1009363,0.002232615,0.00002757242,0.1238039,0.7678022,0.0003424966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01931193,0.01015844,0.04230065,0.009603583,0.006760792,0.0207404,0.0001293837,0.0003646739,0.8906301],"genre_scores_gemma":[0.9882439,0.0003719307,0.0001035637,0.0003382912,0.000327343,0.000108502,0.0001682268,0.0000294603,0.0103088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.968932,"threshold_uncertainty_score":0.9459016,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7117968237","doi":"10.1007/978-3-032-00815-2_5","title":"Do We Perceive Virtual Teachers as Human? An EEG Experiment Proposal for Investigating the Cognition of AI Teaching Expectations","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Cognition; N400; Perception; Virtual agent; Virtual reality; Key (lock); Work (physics)","retraction":null,"screen_n_in":null,"score":{"opus":0.02432974918619364,"gpt":0.2953695554610774,"spread":0.2710398062748838,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003587115,0.0002557722,0.0002663003,0.0002861183,0.0004318552,0.000335248,0.0001747272,0.000254242,0.00001530343],"category_scores_gemma":[0.0004332057,0.0001959593,0.00005189953,0.00005248344,0.0001210936,0.0008154939,0.00004893218,0.0004431754,0.000003892177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108818,"about_ca_system_score_gemma":0.0001675912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004065785,"about_ca_topic_score_gemma":0.00001514519,"domain_scores_codex":[0.9983775,0.0001325765,0.0007324449,0.0002502592,0.0003682721,0.0001389326],"domain_scores_gemma":[0.9985753,0.0005188496,0.0005518652,0.0001923339,0.0001230293,0.00003861374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003825584,0.00003883355,0.0000377293,0.0005860131,0.00003896953,4.945179e-7,0.3979626,0.003387419,0.1114641,0.4453821,0.0002040717,0.04085945],"study_design_scores_gemma":[0.00521845,0.003576935,0.0002080631,0.01112211,0.0003810555,0.0001630196,0.08745384,0.08464947,0.56949,0.2161837,0.01861607,0.002937245],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2988847,0.00114416,0.6097712,0.00539865,0.003457795,0.01512496,0.0005494637,0.0006538979,0.06501517],"genre_scores_gemma":[0.9982865,0.000008541871,0.0005338239,0.000404598,0.0001222039,0.00009179085,0.0001121922,0.00001881649,0.0004214951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6994018,"threshold_uncertainty_score":0.7990987,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7117981237","doi":"10.1007/978-3-032-00815-2_6","title":"STREAM: Self-Supervised Task-Responsive EEG Architecture for Mental-State Estimation","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Inference; Electroencephalography; Cognition; Face (sociological concept); State (computer science); Pattern recognition (psychology); Estimation","retraction":null,"screen_n_in":null,"score":{"opus":0.01096389487176298,"gpt":0.2383195579326949,"spread":0.2273556630609319,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002433356,0.000405439,0.0004024084,0.0005612981,0.0002146053,0.0004023778,0.0001887751,0.000373801,0.00002094525],"category_scores_gemma":[0.0003191744,0.0003573284,0.00007513773,0.0001031412,0.00004885674,0.0006099762,0.00007156761,0.0003271848,0.00002729062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002196197,"about_ca_system_score_gemma":0.0001345144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003027833,"about_ca_topic_score_gemma":0.00002616203,"domain_scores_codex":[0.9982276,0.00006804943,0.0007768819,0.0003560077,0.0003417905,0.000229701],"domain_scores_gemma":[0.9982657,0.000797237,0.0005016348,0.0002534676,0.0001242867,0.00005760581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00107524,0.0001084238,0.0001077517,0.008809989,0.0002676093,0.00001225991,0.1204342,0.09151905,0.02487231,0.07021061,0.005281847,0.6773007],"study_design_scores_gemma":[0.005361049,0.0009181661,0.0001482369,0.003509843,0.0001927978,0.0002161483,0.0003180163,0.5502676,0.0784934,0.05254636,0.305529,0.002499363],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009083798,0.0004165079,0.9586354,0.001657204,0.002668326,0.006550452,0.001348934,0.0005619082,0.01907743],"genre_scores_gemma":[0.9846846,0.0001935314,0.006560345,0.002549538,0.0001954665,0.0001742613,0.001059007,0.00007542613,0.004507855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9756008,"threshold_uncertainty_score":0.9998879,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404941366","doi":"10.1007/978-3-031-75329-9_33","title":"An Adaptive Fast-RCNN Method for Fish Monitoring: From an Artificial Environment to the Ocean","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Fish <Actinopterygii>; Fishery; Environmental science; Artificial intelligence; Computer science; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.02962503401509097,"gpt":0.2675230080318953,"spread":0.2378979740168043,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005300032,0.0002793758,0.000238287,0.000118251,0.0001603572,0.0003216524,0.0002704426,0.0003994828,0.00004319303],"category_scores_gemma":[0.00004333081,0.0002128993,0.00003606234,0.00004818765,0.00005472006,0.0006177461,0.0001364652,0.000285934,0.0001583236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004764595,"about_ca_system_score_gemma":0.00001110444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007957969,"about_ca_topic_score_gemma":0.0001083776,"domain_scores_codex":[0.9985402,0.00004224702,0.0005288394,0.0003301594,0.000377606,0.0001809902],"domain_scores_gemma":[0.9991354,0.0001513891,0.000210866,0.0004252381,0.00001408501,0.00006307029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004024931,0.00008577593,0.00358316,0.0004051911,0.0002399641,0.000005474744,0.1563039,0.3498012,0.008519059,0.0420973,0.0009518174,0.4376046],"study_design_scores_gemma":[0.001071767,0.003190569,0.01128114,0.001123316,0.0004411159,0.00003105344,0.01248898,0.102042,0.1010142,0.3417366,0.4216741,0.003905112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04137488,0.000110659,0.9466146,0.002416852,0.002620523,0.003850072,0.0008268345,0.0004995749,0.001686021],"genre_scores_gemma":[0.9825048,0.00002029077,0.01551693,0.000177708,0.0008762794,0.00009879222,0.0003493489,0.00005493804,0.0004008673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.94113,"threshold_uncertainty_score":0.8681781,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7118006807","doi":"10.1007/978-3-032-00815-2_30","title":"Building the Next Generation of NeuroIS Scholars: Lessons Learned, Challenges Overcome, and Future Directions for the Field","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Leverage (statistics); Position paper; Field (mathematics); Key (lock); Position (finance); Work (physics)","retraction":null,"screen_n_in":null,"score":{"opus":0.07314781945351566,"gpt":0.296631593584576,"spread":0.2234837741310603,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002775277,0.0001807062,0.0001983486,0.0001720367,0.0003006653,0.0003565461,0.0001454041,0.0002475934,0.000005198367],"category_scores_gemma":[0.0004595795,0.0001129751,0.00004346693,0.0000677784,0.00005172617,0.0005711485,0.00006138192,0.0003348254,9.289333e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003981524,"about_ca_system_score_gemma":0.00004762088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004182571,"about_ca_topic_score_gemma":0.0000637324,"domain_scores_codex":[0.9990571,0.00005666845,0.0004125709,0.0001906695,0.0001812413,0.0001017899],"domain_scores_gemma":[0.9974928,0.001861561,0.0003306796,0.0002138044,0.00008405011,0.00001704564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003149595,0.00000758704,0.00001336024,0.0006883576,0.00003413207,2.823117e-7,0.009559396,0.001143907,0.007110743,0.2767576,0.0005597792,0.7040934],"study_design_scores_gemma":[0.0004272971,0.0001503539,0.000131227,0.0003902462,0.00006367134,0.0000434833,0.0003564902,0.02974681,0.01120244,0.005843123,0.951352,0.0002928874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01606849,0.0837414,0.5851477,0.2430166,0.0208133,0.01206397,0.0006944044,0.0004915363,0.03796259],"genre_scores_gemma":[0.9668016,0.02713888,0.0004369896,0.002671516,0.00141349,0.00009424599,0.00003168915,0.00003184341,0.001379719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9507922,"threshold_uncertainty_score":0.4606989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}