{"meta":{"query_hash":"73c479651509","filters":{"venue":"Progress in IS"},"cohort_total":55,"direct_labels_cover":0,"predictions_cover":55,"exported":55,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/73c479651509","api":"https://metacan.xera.ac/api/v1/cohort?venue=Progress+in+IS"},"results":[{"id":"W138408931","doi":"10.1007/978-3-662-43820-6_15","title":"Moving up the Global Value Chain: The Case of Chinese IT Service Firms","year":2014,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Internationalization; Business; Bricolage; Value (mathematics); Service (business); Industrial organization; Resource (disambiguation); Global value chain; Process (computing); Value chain; Marketing; Commerce; International trade; Supply chain","score_opus":0.016733367381391803,"score_gpt":0.2608161807875139,"score_spread":0.2440828134061221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W138408931","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035596058,0.0043156194,0.0001840157,0.048012666,0.0038592932,0.0016052052,0.000108593005,0.0001250017,0.90619355],"genre_scores_gemma":[0.9676998,0.00003559428,0.000031302465,0.010106461,0.0027209586,0.00006357203,0.0000454791,0.00006229288,0.019234525],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99868405,0.000008242316,0.0004208732,0.000307074,0.00035275673,0.00022700305],"domain_scores_gemma":[0.99848056,0.000078674915,0.0005415649,0.000470135,0.00042166893,0.0000074215945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046468264,0.0003293355,0.00031743932,0.00010365624,0.00017924416,0.00023809532,0.00074377307,0.0001670777,0.00045529232],"category_scores_gemma":[0.000049419396,0.00018108409,0.00014661753,0.00019378433,0.00014945987,0.00020284143,0.00054799253,0.00027634136,0.00014049566],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005772361,0.00003053016,0.016370796,0.0007576428,0.0001243819,0.00023645253,0.00029098356,0.00006770387,1.382192e-7,0.9415242,0.002863983,0.037675466],"study_design_scores_gemma":[0.0010039125,0.00001347941,0.0084704105,0.0013239876,0.00021938115,0.00022914364,0.00017757954,0.04622179,0.0000012237675,0.20643497,0.73501974,0.0008843623],"about_ca_topic_score_codex":0.0016525444,"about_ca_topic_score_gemma":0.0011904009,"teacher_disagreement_score":0.93210375,"about_ca_system_score_codex":0.00004645507,"about_ca_system_score_gemma":0.000023005667,"threshold_uncertainty_score":0.7384395},"labels":[],"label_agreement":null},{"id":"W1953405187","doi":"10.1007/978-3-662-43820-6_2","title":"Investigating the Relationship Between Outsourcing and Innovation","year":2014,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Outsourcing; Business; Knowledge process outsourcing; Knowledge management; Industrial organization; Business administration; Marketing; Computer science","score_opus":0.06309410019783328,"score_gpt":0.26804196467923397,"score_spread":0.20494786448140068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1953405187","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025996735,0.0020764635,0.0035728817,0.039912093,0.00079280796,0.0022169363,0.000011731824,0.0005667702,0.92485356],"genre_scores_gemma":[0.9445075,0.000004108272,0.00025654267,0.0022253261,0.0017483155,0.00003846542,0.00008238342,0.00007416273,0.05106324],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99849737,0.000012756778,0.00052002445,0.0003886749,0.00033874667,0.00024241165],"domain_scores_gemma":[0.9987397,0.0003025612,0.0005201638,0.00033415982,0.00009477584,0.00000859612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012408871,0.00028970648,0.00029352706,0.00081073336,0.00029948226,0.00045931726,0.00025642253,0.00020031148,0.00005152657],"category_scores_gemma":[0.000290088,0.0002356576,0.000045562105,0.00032168283,0.0001983005,0.0002026968,0.00034865036,0.0005507239,0.00009689305],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.4367505e-7,0.0000016650049,0.64083993,0.0002756975,0.0000149430225,0.0000011246383,0.00018238965,0.000011696097,3.696196e-8,0.3326697,0.0018238175,0.024178049],"study_design_scores_gemma":[0.0004705091,0.000009605698,0.18715705,0.0014869869,0.00016845063,8.1676916e-7,0.00014021083,0.003147383,7.3298804e-7,0.23759791,0.5691595,0.00066081306],"about_ca_topic_score_codex":0.000034832767,"about_ca_topic_score_gemma":0.000015012915,"teacher_disagreement_score":0.91851074,"about_ca_system_score_codex":0.000037515812,"about_ca_system_score_gemma":0.0000103437005,"threshold_uncertainty_score":0.96098375},"labels":[],"label_agreement":null},{"id":"W2980123276","doi":"10.1007/978-3-030-44337-5_9","title":"Business Process Transformation in Natural Resources Development Using Blockchain: Indigenous Entrepreneurship, Trustless Technology, and Rebuilding Trust","year":2020,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Mining and Resource Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Distrust; Indigenous; Natural resource; Business; Entrepreneurship; Blockchain; Resource (disambiguation); Environmental resource management; Political science; Economics; Ecology","score_opus":0.013812645474147097,"score_gpt":0.22374302189973377,"score_spread":0.20993037642558668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980123276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.972622,0.013966377,0.000051307572,0.00026389153,0.00020240207,0.0009364523,0.000009373101,0.0004100233,0.011538187],"genre_scores_gemma":[0.99788576,0.00020011337,0.00077091577,0.000023706118,0.000069054484,0.000077270204,0.000017814416,0.000099213896,0.0008561625],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982736,0.0000111752315,0.00057671696,0.00045369368,0.00029310738,0.0003917098],"domain_scores_gemma":[0.99957424,0.000015892258,0.00012383511,0.00018544137,0.000042642536,0.000057916575],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016989738,0.00044195258,0.00048496702,0.0012733638,0.000093549854,0.00008105329,0.00028945363,0.00042303992,0.000011727454],"category_scores_gemma":[0.00000906925,0.00045128274,0.000033436485,0.00041886585,0.0001246977,0.000053509295,0.00009843005,0.0007077862,0.0000031314219],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013911711,0.00008542516,0.033706356,0.010674303,0.00039622356,0.000539185,0.17653418,0.016337745,0.000032522137,0.0018773123,0.000027891996,0.75964975],"study_design_scores_gemma":[0.015110676,0.00043900998,0.020630594,0.064157344,0.0010952723,0.0007817374,0.029539425,0.43843728,0.014269507,0.008511748,0.38953635,0.017491054],"about_ca_topic_score_codex":0.0000032684147,"about_ca_topic_score_gemma":0.000015983134,"teacher_disagreement_score":0.7421587,"about_ca_system_score_codex":0.00020792658,"about_ca_system_score_gemma":0.00003563968,"threshold_uncertainty_score":0.9997939},"labels":[],"label_agreement":null},{"id":"W3033592647","doi":"10.1007/978-3-030-45819-5_8","title":"Cultural Intelligence of Offshore IT Suppliers","year":2020,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Submarine pipeline; Business; Marine engineering; Geology; Oceanography; Engineering","score_opus":0.04534895348107326,"score_gpt":0.2771761858186275,"score_spread":0.23182723233755426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033592647","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000020587033,0.0004524214,0.000022522903,0.0039034528,0.0004030616,0.00040853114,0.0000069722514,0.00005838299,0.9947241],"genre_scores_gemma":[0.6437097,0.00023993995,0.00094246096,0.012400718,0.002707571,0.000117834614,0.00049141305,0.00019084674,0.33919948],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986222,0.0000018521213,0.0005232832,0.00035401143,0.00031272168,0.00018594052],"domain_scores_gemma":[0.9991117,0.000008452457,0.00038171367,0.00022548383,0.0002641015,0.000008550519],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00014313559,0.00027534342,0.0003503835,0.00034999003,0.000040115723,0.00011647127,0.0004084096,0.0001468193,0.001446577],"category_scores_gemma":[0.00001825165,0.00025463913,0.00010717815,0.0002171287,0.0001702829,0.00020405716,0.00038622465,0.00027309995,0.00078362465],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023958613,0.000022693823,0.0012948666,0.0007622693,0.000044973487,0.000016072296,0.00018676683,3.7347718e-7,4.1449906e-7,0.9167003,0.03388084,0.047066443],"study_design_scores_gemma":[0.00013885227,0.000009796575,0.000049401682,0.0003636724,0.000048913247,2.7282087e-7,0.00037125853,0.0004868538,0.000035670437,0.026893076,0.9712708,0.0003314144],"about_ca_topic_score_codex":0.0000047510416,"about_ca_topic_score_gemma":0.000019439058,"teacher_disagreement_score":0.93738997,"about_ca_system_score_codex":0.000039872702,"about_ca_system_score_gemma":0.000014404299,"threshold_uncertainty_score":0.9999944},"labels":[],"label_agreement":null},{"id":"W3088303490","doi":"10.1007/978-3-030-46781-4_9","title":"Designing Platforms to Support Knowledge-Intensive Organizational Work","year":2020,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Knowledge management; Computer science; Context (archaeology); Design knowledge; Stakeholder; Design science research; Process (computing); Work (physics); Engineering; Information system","score_opus":0.03826152898545204,"score_gpt":0.2554447372711733,"score_spread":0.21718320828572124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088303490","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020592131,0.008907014,0.024009328,0.02101647,0.002927036,0.0027400341,0.00007058853,0.0019888356,0.9362815],"genre_scores_gemma":[0.7985957,0.00012886433,0.0057063936,0.02339936,0.0082848575,0.00020271244,0.0012827661,0.0007896065,0.16160974],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99785906,0.0000014796577,0.0005766519,0.00075738743,0.00043946053,0.00036598093],"domain_scores_gemma":[0.99786586,0.000027416165,0.00035224776,0.0002728772,0.0014408743,0.000040740957],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00018690307,0.00050029665,0.000646576,0.0007322395,0.00015347073,0.00038783063,0.0005016445,0.00030066448,0.0013294364],"category_scores_gemma":[0.00013648307,0.00047475903,0.00015362956,0.00077957043,0.000079859165,0.00044106808,0.0004866117,0.0004325252,0.0030565658],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006406299,0.00035464638,0.115447305,0.0052156667,0.0014326606,0.00083671836,0.0036733248,0.0010872012,0.000011420697,0.30293697,0.1915517,0.37681174],"study_design_scores_gemma":[0.0021266302,0.00008784363,0.00081137085,0.0067564906,0.00154272,0.000014049422,0.0005976093,0.014758751,0.00011985829,0.16273768,0.80507505,0.0053719315],"about_ca_topic_score_codex":0.0000099023055,"about_ca_topic_score_gemma":0.000013323337,"teacher_disagreement_score":0.7965365,"about_ca_system_score_codex":0.00007072562,"about_ca_system_score_gemma":0.00010644152,"threshold_uncertainty_score":0.9997704},"labels":[],"label_agreement":null},{"id":"W4312391711","doi":"10.1007/978-3-031-14264-2","title":"Understanding Cybersecurity Law in Data Sovereignty and Digital Governance","year":2022,"lang":"en","type":"book","venue":"Progress in IS","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Sovereignty; Corporate governance; Perspective (graphical); Political science; Data governance; Computer security; Data Protection Act 1998; Law; Law and economics; Public administration; Business; Computer science; Sociology; Politics; Artificial intelligence","score_opus":0.11305626516725442,"score_gpt":0.32971403973242563,"score_spread":0.2166577745651712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312391711","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001717264,0.01638385,9.259919e-7,0.001667125,0.0003718083,0.0004875328,0.001614208,0.000057182955,0.97924566],"genre_scores_gemma":[0.9322299,0.008471464,0.000044471748,0.00040177084,0.0004034455,0.00008163615,0.00035567392,0.00006109978,0.057950582],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997524,0.00010413124,0.0003309335,0.00075876445,0.000784146,0.0004980216],"domain_scores_gemma":[0.9989673,0.0002444797,0.00020856291,0.00047814348,0.000020899199,0.00008064668],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00074689486,0.0002648981,0.0004422958,0.000075860575,0.0005584911,0.00029448286,0.00085137633,0.00024489532,0.00082156196],"category_scores_gemma":[0.00010340592,0.00031055504,0.000054584132,0.00022881206,0.0014817095,0.0007552039,0.0016186078,0.00081794354,0.000007491386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020770805,0.00006811445,0.006669923,0.00007161295,0.00003671596,0.000100887,0.026086153,1.0693801e-7,9.220307e-10,0.94361424,0.019802986,0.003528514],"study_design_scores_gemma":[0.00031755317,0.000015222052,0.00018681966,0.00022137622,0.000015395042,0.0000013652269,0.008081603,0.000008480014,5.6567465e-8,0.32274708,0.6680595,0.00034549332],"about_ca_topic_score_codex":0.0013591616,"about_ca_topic_score_gemma":0.055513125,"teacher_disagreement_score":0.93205816,"about_ca_system_score_codex":0.0014030031,"about_ca_system_score_gemma":0.0003911749,"threshold_uncertainty_score":0.9999347},"labels":[],"label_agreement":null},{"id":"W4312563132","doi":"10.1007/978-3-031-14264-2_3","title":"Conflicts of Law","year":2022,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Conflict of Laws and Jurisdiction","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Jurisdiction; Law; Conflict of laws; Choice of law; Political science; Subject-matter jurisdiction; Personal jurisdiction; Private law; Common law; Tort; International law; Original jurisdiction; Context (archaeology); Substantive law; Comparative law; Liability","score_opus":0.04773683651121564,"score_gpt":0.3368288457886477,"score_spread":0.28909200927743206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312563132","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001644794,0.0030062036,3.1086253e-7,0.0010124983,0.00038042912,0.00026052515,0.000038552003,0.00003507836,0.9951019],"genre_scores_gemma":[0.21104869,0.003260125,0.00011794766,0.0006014951,0.0005611961,0.000087279506,0.000036616464,0.000063123225,0.7842235],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885035,0.000028245411,0.00024418472,0.00019995082,0.0005103721,0.00016688449],"domain_scores_gemma":[0.99947834,0.000045599925,0.00019265823,0.00017220166,0.000062120824,0.000049077273],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036712192,0.00011041815,0.0002338317,0.000090133646,0.00016028175,0.000023481321,0.00023022328,0.00018646289,0.007936942],"category_scores_gemma":[0.000006702821,0.00012435473,0.00009496083,0.000035675923,0.0005153092,0.00006515516,0.00009053183,0.00025186545,0.000018415465],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009253326,0.000016910499,0.0004071421,0.000021620135,0.000017048511,0.00000946105,0.010696391,7.153504e-8,1.6843572e-7,0.95768225,0.00031386694,0.030825833],"study_design_scores_gemma":[0.00011158755,0.000039638653,0.000073777686,0.00006522935,0.0000145644935,3.1896553e-7,0.00005974378,0.0000010891696,0.000008906093,0.01147436,0.98802984,0.00012095473],"about_ca_topic_score_codex":0.0015062168,"about_ca_topic_score_gemma":0.001011008,"teacher_disagreement_score":0.98771596,"about_ca_system_score_codex":0.00008867665,"about_ca_system_score_gemma":0.00008471883,"threshold_uncertainty_score":0.99296993},"labels":[],"label_agreement":null},{"id":"W4312614295","doi":"10.1007/978-3-031-14264-2_4","title":"Technical Complexities","year":2022,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Legislation; Sovereignty; Internet governance; Data governance; Internet privacy; Political science; The Internet; Corporate governance; Censorship; Data Protection Act 1998; Business; Politics; Law; Data quality; World Wide Web; Computer science","score_opus":0.050617734725957,"score_gpt":0.3338738643882414,"score_spread":0.2832561296622844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312614295","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016416405,0.012533984,4.4006882e-7,0.00456874,0.0003723777,0.0003160614,0.00008040878,0.00013830264,0.9819733],"genre_scores_gemma":[0.06588146,0.006944302,0.000496201,0.0010011144,0.0010696405,0.0003887282,0.00006219618,0.0000949146,0.9240614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984659,0.000046126053,0.00023794902,0.00031564492,0.00062676467,0.00030759475],"domain_scores_gemma":[0.9994956,0.000100457655,0.000106305226,0.00019892883,0.000046153007,0.000052507945],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037121412,0.00018443703,0.00032735363,0.000126161,0.00061008986,0.00005382811,0.00041328612,0.00021406807,0.011282066],"category_scores_gemma":[0.00002684459,0.00020539657,0.00013771169,0.000062417195,0.0014666668,0.00006984419,0.00037517358,0.0006035522,0.0000729162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073055303,0.0000218663,0.00046101716,0.000018951727,0.000018299395,0.00003539719,0.01429144,2.2763018e-8,7.132902e-9,0.95278907,0.0133183785,0.019038219],"study_design_scores_gemma":[0.000070021015,0.000021754648,0.00010356523,0.00006038358,0.000013855107,9.883398e-7,0.0013962465,1.9440722e-7,1.7847306e-7,0.16222511,0.83590436,0.00020333841],"about_ca_topic_score_codex":0.00043313197,"about_ca_topic_score_gemma":0.007372956,"teacher_disagreement_score":0.822586,"about_ca_system_score_codex":0.00025008386,"about_ca_system_score_gemma":0.00012297614,"threshold_uncertainty_score":0.98962176},"labels":[],"label_agreement":null},{"id":"W4312633198","doi":"10.1007/978-3-031-14264-2_1","title":"Data Sovereignty","year":2022,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Sovereignty; Context (archaeology); Westphalian sovereignty; Corporate governance; Political science; Computer science; Law; Politics; Geography; Economics; Management","score_opus":0.08858069520645197,"score_gpt":0.31459970286823435,"score_spread":0.2260190076617824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312633198","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000004185531,0.020945823,0.00403054,0.034473754,0.0017979732,0.0009039817,0.0034849811,0.002351654,0.93200713],"genre_scores_gemma":[0.0022129638,0.005257787,0.92582405,0.001786025,0.00037550877,0.0003195607,0.0023214128,0.00027830957,0.061624393],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967397,0.00002876596,0.0004225196,0.0015833566,0.000779504,0.00044615744],"domain_scores_gemma":[0.9649748,0.00012181566,0.00028372827,0.034533583,0.00003444602,0.00005163279],"candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.0005932289,0.00036417006,0.00039493077,0.00033929705,0.00010916537,0.00020864928,0.1241249,0.00034327444,0.0018783108],"category_scores_gemma":[0.0015469692,0.00038858186,0.000060992956,0.00016674913,0.00025304995,0.0009022137,0.5044455,0.0012534695,0.00016400343],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029274609,0.000024547458,0.00020454064,0.0000420134,0.000033106535,0.00020753843,0.00001771152,1.0442459e-7,4.744153e-8,0.37605715,0.41609403,0.20731626],"study_design_scores_gemma":[0.00008952784,0.000022351483,0.000012270792,0.00006534042,0.0000053296653,0.000013008205,0.0000011315419,0.005719495,0.0000069405546,0.51503295,0.47876576,0.00026589635],"about_ca_topic_score_codex":0.000008873693,"about_ca_topic_score_gemma":0.000007259922,"teacher_disagreement_score":0.9217935,"about_ca_system_score_codex":0.00020030364,"about_ca_system_score_gemma":0.00015209094,"threshold_uncertainty_score":0.9998566},"labels":[],"label_agreement":null},{"id":"W4312656006","doi":"10.1007/978-3-031-14264-2_2","title":"Digital Governance","year":2022,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Accountability; Transparency (behavior); Corporate governance; Empowerment; Unintended consequences; Business; Equity (law); Public relations; Jurisdiction; Digital transformation; Political science; Public administration; Law and economics; Economics; Law","score_opus":0.021740130846527445,"score_gpt":0.285288399735467,"score_spread":0.26354826888893956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312656006","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000119317396,0.0068886178,8.558562e-8,0.0048706066,0.00050811464,0.00020925602,0.00016543895,0.000056827994,0.9871817],"genre_scores_gemma":[0.020578338,0.0017499543,0.000026472071,0.00044202668,0.00047994632,0.000046443718,0.000032784825,0.000032602624,0.97661144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982377,0.000014637149,0.0001816179,0.00029610156,0.0010082617,0.00026164524],"domain_scores_gemma":[0.99944466,0.00006787001,0.00020617132,0.00019251493,0.000026335721,0.00006244458],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023056411,0.00015522225,0.00018532468,0.00003442641,0.00018401066,0.00023434029,0.0005988934,0.00016513561,0.017109817],"category_scores_gemma":[0.000017219614,0.00016656317,0.00008714875,0.00006298145,0.00031084265,0.00039434366,0.00023850205,0.00030059353,0.00014734268],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008171296,0.000021074802,0.016635444,0.000021042486,0.000020164229,0.000023807981,0.003157464,3.6178648e-8,3.6009213e-9,0.8124614,0.007862818,0.15978862],"study_design_scores_gemma":[0.00008784623,0.000017627846,0.00028866832,0.000049863986,0.0000057481443,2.5623538e-7,0.00032097456,0.0000012200748,3.128774e-7,0.01103491,0.987991,0.00020158659],"about_ca_topic_score_codex":0.00024374363,"about_ca_topic_score_gemma":0.0009248796,"teacher_disagreement_score":0.98012817,"about_ca_system_score_codex":0.00030175227,"about_ca_system_score_gemma":0.00013518774,"threshold_uncertainty_score":0.98378867},"labels":[],"label_agreement":null},{"id":"W4312947185","doi":"10.1007/978-3-031-14264-2_5","title":"Comparative Legal Strategies","year":2022,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Conflict of Laws and Jurisdiction","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Jurisdiction; Sovereignty; Mandate; Political science; Data governance; Legislature; Corporate governance; Variety (cybernetics); Realm; Legislation; Law; Law and economics; Politics; Business; Computer science; Sociology","score_opus":0.05730928409788204,"score_gpt":0.3672815565047576,"score_spread":0.3099722724068755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312947185","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031084009,0.003126089,0.0000013051038,0.001308634,0.0004566706,0.00028734788,0.000029123452,0.000065044784,0.9944149],"genre_scores_gemma":[0.31081155,0.0013220113,0.00009224392,0.00015500281,0.00066746253,0.00011038624,0.00003778852,0.000030249825,0.6867733],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885666,0.000041524716,0.00018961247,0.0002441777,0.0004689185,0.00019913085],"domain_scores_gemma":[0.99960405,0.000039929102,0.00013007336,0.00012774832,0.000050245242,0.000047965976],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024966875,0.00014215967,0.00025309756,0.000106888234,0.00032430486,0.00017276383,0.00022502121,0.00014733979,0.008615746],"category_scores_gemma":[0.0000022068125,0.0001542666,0.0000815432,0.000047698933,0.00040764303,0.0002259091,0.00007682214,0.00038698423,0.000049808918],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012735443,0.000017227934,0.00020833027,0.000008678285,0.000023857547,0.000023792498,0.020854644,6.822389e-7,5.919781e-8,0.9613941,0.0020925312,0.015363372],"study_design_scores_gemma":[0.00008661135,0.00004530143,0.00016789665,0.00003651389,0.000012161122,5.4589464e-7,0.0018998986,0.0000044813173,0.0000012189845,0.01369955,0.9838772,0.00016865418],"about_ca_topic_score_codex":0.0008783952,"about_ca_topic_score_gemma":0.0025703195,"teacher_disagreement_score":0.98178464,"about_ca_system_score_codex":0.00015854479,"about_ca_system_score_gemma":0.00030095427,"threshold_uncertainty_score":0.9922905},"labels":[],"label_agreement":null},{"id":"W4312963303","doi":"10.1007/978-3-031-14264-2_6","title":"Emerging Topics in Data Sovereignty and Digital Governance","year":2022,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Sovereignty; Accountability; Human rights; Transparency (behavior); Indigenous; Political science; Corporate governance; Data governance; Big data; Law and economics; Public administration; Sociology; Law; Business; Politics; Computer science; Data quality","score_opus":0.04802658506772627,"score_gpt":0.3216373644522975,"score_spread":0.27361077938457123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312963303","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005742828,0.021861637,0.000006819449,0.0048914757,0.00078641914,0.0007779541,0.0018728656,0.00007576478,0.9691528],"genre_scores_gemma":[0.6743975,0.08460825,0.0015867758,0.001039314,0.0045971633,0.0003391422,0.0026243425,0.00024211702,0.2305654],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998643,0.00002800088,0.00021546587,0.00047147743,0.0004158328,0.0002262143],"domain_scores_gemma":[0.99920976,0.000035651363,0.00014531917,0.0005488498,0.000015493957,0.000044937333],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040298098,0.00013840261,0.00019051998,0.000063757376,0.00017561953,0.00016973955,0.0008693643,0.0001575792,0.0009471259],"category_scores_gemma":[0.00017770978,0.00016036928,0.00002244091,0.00006792097,0.00023185772,0.0008079229,0.0018301589,0.00045259966,0.000007452645],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018979921,0.000035123467,0.01153646,0.00006877242,0.00001237362,0.000050225026,0.0033194923,8.911637e-8,1.2989722e-8,0.5517023,0.0026008135,0.43065536],"study_design_scores_gemma":[0.00014001167,0.000011479004,0.0004504232,0.00008034059,0.000004518358,0.0000010370023,0.00015298417,0.000034289566,3.5968114e-7,0.1281659,0.8707797,0.00017894436],"about_ca_topic_score_codex":0.000647082,"about_ca_topic_score_gemma":0.001991318,"teacher_disagreement_score":0.8681789,"about_ca_system_score_codex":0.00017495631,"about_ca_system_score_gemma":0.00010635416,"threshold_uncertainty_score":0.99996614},"labels":[],"label_agreement":null},{"id":"W4386267734","doi":"10.1007/978-3-031-36698-7_4","title":"A Sustainable Human-Smart Service Product Interaction: Tackling User Attrition and eWaste for the Triple Bottom Line","year":2023,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Service and Product Innovation","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IBM (Canada)","funders":"","keywords":"User Research; Wearable computer; Attrition; Product (mathematics); Computer science; Sustainability; Triple bottom line; User experience design; Engineering; Human–computer interaction","score_opus":0.05626750475891233,"score_gpt":0.2980019069561234,"score_spread":0.24173440219721104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386267734","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05590961,0.04123353,0.00029846947,0.71030414,0.015914058,0.035398655,0.00017183072,0.0027938047,0.13797592],"genre_scores_gemma":[0.09133215,0.0010152761,0.0010114055,0.041076988,0.031246461,0.0032967832,0.0025989187,0.0008812627,0.82754076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99845266,0.000005022339,0.00044396296,0.0005442337,0.00023868596,0.000315455],"domain_scores_gemma":[0.9982877,0.00007337632,0.0004115542,0.00037811283,0.0008423428,0.000006940917],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007006949,0.00029529014,0.0002835401,0.00044278376,0.00037884648,0.00052677013,0.0002390376,0.00015786492,0.0001039869],"category_scores_gemma":[0.000053485077,0.00025316273,0.00006490547,0.00043866722,0.000042549884,0.00094016385,0.00024044902,0.00038217127,0.00006947207],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000967551,0.00023035986,0.009020934,0.024067052,0.0005534972,0.0000677761,0.0016619175,0.000043824813,0.000039082344,0.75671595,0.08497566,0.12165639],"study_design_scores_gemma":[0.00087222573,0.000028794662,0.0005205239,0.00087292463,0.00019079878,0.0000025915847,0.0010869903,0.0011866721,0.000058024143,0.04492176,0.9498033,0.00045541275],"about_ca_topic_score_codex":0.0002923171,"about_ca_topic_score_gemma":0.0003495055,"teacher_disagreement_score":0.86482763,"about_ca_system_score_codex":0.00004890361,"about_ca_system_score_gemma":0.00002313123,"threshold_uncertainty_score":0.9999921},"labels":[],"label_agreement":null},{"id":"W4391111714","doi":"10.1007/978-3-031-48865-8_2","title":"Android Operating System","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University; York University","funders":"","keywords":"Android (operating system); Malware; Computer security; Computer science; Adversarial system; Android malware; Android application; Operating system; Artificial intelligence","score_opus":0.014830396231600526,"score_gpt":0.27294853514110423,"score_spread":0.2581181389095037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391111714","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008894545,0.017313791,0.18106563,0.00043698438,0.0016653826,0.0009645812,0.00002368869,0.0044618053,0.7940592],"genre_scores_gemma":[0.05125036,0.00038877712,0.3465673,0.00035521653,0.00068520114,0.00072565494,0.000009980417,0.00027631503,0.59974116],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99849826,0.000008662478,0.0003475553,0.0006511088,0.00028236143,0.00021206011],"domain_scores_gemma":[0.9991143,0.000024179097,0.00011826463,0.0006231014,0.000073151234,0.000047001886],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017237102,0.00026262956,0.0002877053,0.0002979298,0.00005393522,0.0002529857,0.0007087689,0.0002321728,0.000018172219],"category_scores_gemma":[0.0000049706528,0.0002541834,0.00008202361,0.00009545229,0.000056895864,0.00023626251,0.0005508345,0.0004919511,0.00018070062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010753677,0.000004522099,0.000018463501,0.00040593813,0.00001712221,0.0003243332,0.0002422932,0.0000018467018,0.0000027534682,0.77415276,0.00052226556,0.22430664],"study_design_scores_gemma":[0.00032343832,0.00035523885,0.000010227953,0.009415844,0.000036889673,0.0006227093,0.00003081274,0.031485643,0.009643344,0.20703307,0.73909616,0.0019466319],"about_ca_topic_score_codex":0.0000021320539,"about_ca_topic_score_gemma":0.00000199088,"teacher_disagreement_score":0.7385739,"about_ca_system_score_codex":0.00022353217,"about_ca_system_score_gemma":0.000039788112,"threshold_uncertainty_score":0.99999106},"labels":[],"label_agreement":null},{"id":"W4391111724","doi":"10.1007/978-3-031-48865-8_6","title":"Mobile Application Security","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University; York University","funders":"","keywords":"Computer security; Computer science; Internet privacy; Key (lock); Mobile device; Personally identifiable information; Application security; Security through obscurity; Security information and event management; Information sensitivity; Information security; Cloud computing security; Security service; World Wide Web; Software security assurance; Cloud computing","score_opus":0.022667487361085027,"score_gpt":0.3280498318315815,"score_spread":0.30538234447049645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391111724","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009664261,0.02816527,0.000026664982,0.00092759344,0.0012036483,0.0016724572,0.00018579428,0.0003176689,0.96740425],"genre_scores_gemma":[0.38347456,0.015786046,0.00045691722,0.00034490437,0.0041439855,0.0028608907,0.00043136795,0.00017486063,0.59232646],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985898,0.00002664926,0.00023865383,0.0004843614,0.00041907566,0.00024145379],"domain_scores_gemma":[0.9992774,0.000025638914,0.00011396913,0.00044262587,0.00006493987,0.0000754331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005144213,0.00017962987,0.00020177405,0.00016027012,0.0001735096,0.00014225353,0.0005272357,0.00047734275,0.0005221032],"category_scores_gemma":[0.000027907248,0.00019302998,0.00008666316,0.000097430595,0.00033747626,0.00016438097,0.00031156268,0.00052246056,0.00077581697],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012991312,0.00005105305,0.00056683883,0.00024128711,0.000027702148,0.000013814304,0.014585388,5.530364e-8,3.6402724e-7,0.8348492,0.01361414,0.1360372],"study_design_scores_gemma":[0.000036264548,0.000017309718,0.0000060094226,0.0000762419,0.000012558821,4.4330787e-7,0.00007867375,0.000023422512,0.000008481673,0.415952,0.5836607,0.00012788677],"about_ca_topic_score_codex":0.00048679678,"about_ca_topic_score_gemma":0.0011272038,"teacher_disagreement_score":0.57004654,"about_ca_system_score_codex":0.00023045269,"about_ca_system_score_gemma":0.00010764831,"threshold_uncertainty_score":0.9971816},"labels":[],"label_agreement":null},{"id":"W4391111742","doi":"10.1007/978-3-031-48865-8_1","title":"Introduction","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University; York University","funders":"","keywords":"Malware; Computer security; Authentication (law); Upload; Key (lock); Attack surface; Internet privacy; Computer science; Adversarial system; World Wide Web","score_opus":0.01200943547666209,"score_gpt":0.2724965687904096,"score_spread":0.2604871333137475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391111742","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000030010492,0.021988101,0.2753196,0.013498003,0.0056550032,0.0010268617,0.000017245839,0.0051580416,0.67733413],"genre_scores_gemma":[0.0008422434,0.0005744161,0.103805825,0.00021595552,0.0016161309,0.0001828499,0.000006889474,0.00008826873,0.8926674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99871635,0.0000047379326,0.00023631948,0.0006464807,0.00023329695,0.0001628201],"domain_scores_gemma":[0.99915814,0.000012808772,0.000094430325,0.00064085843,0.0000615658,0.000032171545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011322938,0.00020677489,0.00018877702,0.0003755969,0.000025712963,0.000113627415,0.0005086218,0.00021096894,0.00013509263],"category_scores_gemma":[0.0000059968647,0.00021032244,0.00007215565,0.00010291164,0.00007570694,0.00024330511,0.00035350147,0.00049015565,0.00043906076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016528654,0.000004901742,0.0000033998813,0.00005219313,0.000009075797,0.00004119626,0.00008143374,4.5706855e-7,0.0000012399851,0.57960576,0.0103839245,0.40981477],"study_design_scores_gemma":[0.000020424584,0.000035125468,0.0000015886487,0.000089910594,0.0000033653687,0.000022315002,4.4320848e-7,0.00023716177,0.0011451853,0.3510191,0.6472685,0.00015688139],"about_ca_topic_score_codex":9.295551e-7,"about_ca_topic_score_gemma":0.000002158959,"teacher_disagreement_score":0.63688457,"about_ca_system_score_codex":0.00014649026,"about_ca_system_score_gemma":0.00002493954,"threshold_uncertainty_score":0.85767},"labels":[],"label_agreement":null},{"id":"W4391111772","doi":"10.1007/978-3-031-48865-8_8","title":"Conclusion","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University; York University","funders":"","keywords":"Android (operating system); Computer security; Computer science; Operating system","score_opus":0.014953317792471636,"score_gpt":0.29004595575503966,"score_spread":0.27509263796256805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391111772","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000030585097,0.020965073,0.1258441,0.0015883707,0.0015066081,0.00067964813,0.000017029883,0.0027498382,0.84664625],"genre_scores_gemma":[0.004651518,0.0010088466,0.11904047,0.00066750625,0.00027638677,0.00019373704,0.000006718818,0.00012342705,0.87403136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987278,0.0000049126243,0.00024620048,0.0005659418,0.00027852284,0.00017661799],"domain_scores_gemma":[0.9991871,0.000027353077,0.00009841593,0.00058738305,0.000057380767,0.00004235627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010698108,0.0002241296,0.00021692604,0.00030735738,0.000036331174,0.00010090732,0.00069925294,0.0002528888,0.0000887912],"category_scores_gemma":[0.0000045278853,0.00021820374,0.00008359091,0.00008145696,0.00008780127,0.00017769697,0.000977524,0.00046891,0.00031170627],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017168034,0.000004788064,0.0000074099275,0.00006016971,0.0000074302225,0.00015067356,0.00015067283,1.8658415e-7,0.0000015824312,0.56092876,0.0018274394,0.4368592],"study_design_scores_gemma":[0.000036845075,0.00004488955,0.0000017813527,0.000339881,0.0000032266516,0.000018299108,5.0599255e-7,0.00052358565,0.0011764821,0.44422305,0.5534324,0.00019903755],"about_ca_topic_score_codex":0.0000013533762,"about_ca_topic_score_gemma":0.000002934938,"teacher_disagreement_score":0.551605,"about_ca_system_score_codex":0.00013315232,"about_ca_system_score_gemma":0.000034961373,"threshold_uncertainty_score":0.889809},"labels":[],"label_agreement":null},{"id":"W4391111801","doi":"10.1007/978-3-031-48865-8","title":"Understanding Cybersecurity on Smartphones","year":2024,"lang":"en","type":"book","venue":"Progress in IS","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University; York University","funders":"","keywords":"Computer security; Computer science; Internet privacy","score_opus":0.07194308366665945,"score_gpt":0.30852956596826353,"score_spread":0.23658648230160406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391111801","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000010307941,0.0067777773,0.44413632,0.0019387892,0.0037432697,0.0011143624,0.000041251606,0.004298492,0.5379394],"genre_scores_gemma":[0.04493334,0.0015726947,0.14481927,0.00242435,0.0013104605,0.0011479391,0.000042540465,0.00045291363,0.8032965],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982415,0.000028863062,0.0002756457,0.0007525267,0.00040597183,0.0002955024],"domain_scores_gemma":[0.9990137,0.00009337688,0.0001249162,0.00067731005,0.000033867032,0.000056793782],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002020914,0.00030147407,0.00028685652,0.0005456916,0.00006235689,0.00020781993,0.0007798272,0.00030246284,0.000028302531],"category_scores_gemma":[0.000013781265,0.00030018145,0.00011069425,0.00030583967,0.00012275897,0.00022637946,0.00043798055,0.0007800195,0.00018511363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013435407,0.00005748426,0.00005619084,0.00038659357,0.00004322233,0.00045504555,0.0015823618,0.0000022595627,6.571477e-7,0.7819426,0.118485495,0.09697463],"study_design_scores_gemma":[0.000086720094,0.00012479325,0.0000056134472,0.0009651674,0.0000069322605,0.000016235545,0.000010009516,0.00067561545,0.00094100717,0.7622126,0.23455432,0.00040101697],"about_ca_topic_score_codex":0.0000020341156,"about_ca_topic_score_gemma":0.0000135207165,"teacher_disagreement_score":0.29931703,"about_ca_system_score_codex":0.0011521789,"about_ca_system_score_gemma":0.00014439526,"threshold_uncertainty_score":0.99994504},"labels":[],"label_agreement":null},{"id":"W4391111831","doi":"10.1007/978-3-031-48865-8_5","title":"Other Operating Systems","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Access Control and Trust","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University; York University","funders":"","keywords":"Android (operating system); Computer science; Mobile apps; Diversification (marketing strategy); Computer security; World Wide Web; Operating system; Business","score_opus":0.03492765364385066,"score_gpt":0.33444873294995103,"score_spread":0.2995210793061004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391111831","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000024177947,0.04229123,0.0000036038498,0.00084738055,0.0010435802,0.00038399713,0.000026183281,0.00010276691,0.9552771],"genre_scores_gemma":[0.13376725,0.00019976754,0.000029544364,0.00013084406,0.0013160079,0.00008915969,0.000002640143,0.00005152762,0.86441326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988441,0.000021369964,0.0002377992,0.00029738262,0.0003582919,0.00024104015],"domain_scores_gemma":[0.9996235,0.00004233495,0.00008232256,0.00014678243,0.000051319752,0.000053741234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003483371,0.00016299411,0.00025556452,0.000100603924,0.00014703475,0.00041216752,0.00029111386,0.00029386432,0.0008383999],"category_scores_gemma":[0.000011645842,0.00013997791,0.000074472846,0.000042422187,0.00022099468,0.00009644383,0.000072384115,0.00031289732,0.00056397845],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016291349,0.0000052936284,0.0015385725,0.00008509786,0.000041314644,0.00004712435,0.0032635399,7.315359e-7,3.585318e-8,0.9667098,0.0009859084,0.02732095],"study_design_scores_gemma":[0.00008183182,0.0000087552935,0.000009343445,0.00068860577,0.000024733275,6.377445e-7,0.00025759081,0.00012999405,3.9179065e-7,0.018882636,0.97970825,0.00020725283],"about_ca_topic_score_codex":0.000798066,"about_ca_topic_score_gemma":0.0006118945,"teacher_disagreement_score":0.97872233,"about_ca_system_score_codex":0.00009317951,"about_ca_system_score_gemma":0.000093119015,"threshold_uncertainty_score":0.91798913},"labels":[],"label_agreement":null},{"id":"W4402117897","doi":"10.1007/978-3-031-68034-2_3","title":"Defining Cybersecurity in Healthcare","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; York University; University of Toronto","funders":"","keywords":"Computer security; Health care; Internet privacy; Medical emergency; Business; Computer science; Political science; Medicine; Law","score_opus":0.016540779960528523,"score_gpt":0.279902084964211,"score_spread":0.2633613050036825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402117897","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010343426,0.033333622,0.00015341012,0.009508872,0.0015193166,0.0005263597,0.000049111935,0.00036267444,0.9544432],"genre_scores_gemma":[0.75086576,0.0034518784,0.027138295,0.01692809,0.0005577793,0.00053661695,0.00024199237,0.0002754406,0.20000418],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983462,0.0000151350705,0.0004994673,0.0004345,0.00037653997,0.00032817604],"domain_scores_gemma":[0.9992104,0.000028863124,0.00013183428,0.0004937781,0.000058517013,0.000076577744],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000344929,0.00025104178,0.00029794688,0.00043945585,0.000040157604,0.00020983694,0.0007124295,0.00032302496,0.00006158986],"category_scores_gemma":[0.0000054883103,0.000258818,0.00009333811,0.00015691701,0.000064732056,0.00034892152,0.00046361625,0.00091636076,0.0007071791],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018677774,0.000008509549,0.00064317713,0.00018086567,0.0000055148603,0.00008773383,0.004963592,2.2858694e-7,1.834102e-9,0.93245214,0.0006689409,0.060987424],"study_design_scores_gemma":[0.00034068953,0.000056693454,0.0004740304,0.001520849,0.0000057284924,0.000032054537,0.00003635659,0.0057985396,0.000010642785,0.5410939,0.44995353,0.00067697646],"about_ca_topic_score_codex":0.00007177355,"about_ca_topic_score_gemma":0.00035944956,"teacher_disagreement_score":0.75443906,"about_ca_system_score_codex":0.0001858796,"about_ca_system_score_gemma":0.00014768186,"threshold_uncertainty_score":0.9999864},"labels":[],"label_agreement":null},{"id":"W4402117942","doi":"10.1007/978-3-031-68034-2_9","title":"Cybersecurity Governance and Ethics","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; York University; University of Toronto","funders":"","keywords":"Corporate governance; Computer security; Political science; Public administration; Business; Computer science","score_opus":0.023744307021089966,"score_gpt":0.28089794098846405,"score_spread":0.25715363396737406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402117942","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000034353478,0.022171766,0.00035787883,0.0065834136,0.0009521937,0.0002619748,0.000046100922,0.00021426333,0.96937805],"genre_scores_gemma":[0.111507066,0.018088998,0.020851426,0.013245159,0.0007148868,0.00016001168,0.000045344917,0.00016750119,0.8352196],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998717,0.000009857758,0.0002828927,0.0003708972,0.00042668858,0.00019267292],"domain_scores_gemma":[0.9992641,0.000049743267,0.00013239657,0.00042181023,0.00006891495,0.000063022155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034381732,0.00021704531,0.00020840965,0.000080429636,0.00005953604,0.00028860068,0.0005396376,0.00040913196,0.000075660115],"category_scores_gemma":[0.000011225973,0.0002102855,0.00006199791,0.00006052466,0.00015440164,0.0003594787,0.0005456459,0.0012417904,0.00026504303],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012182531,0.0000049555974,0.000040252824,0.00016371354,0.000010187914,0.000034265406,0.006857856,3.754203e-8,7.417633e-9,0.9521439,0.0017831807,0.038960442],"study_design_scores_gemma":[0.000104702645,0.000018584438,0.00012783676,0.00040676232,0.000006275838,0.000019448267,0.0000070166134,0.0019668834,0.000009861192,0.25010657,0.74694765,0.00027843102],"about_ca_topic_score_codex":0.0000087578155,"about_ca_topic_score_gemma":0.000047607107,"teacher_disagreement_score":0.74516445,"about_ca_system_score_codex":0.000065942106,"about_ca_system_score_gemma":0.00009488178,"threshold_uncertainty_score":0.8575194},"labels":[],"label_agreement":null},{"id":"W4402118942","doi":"10.1007/978-3-031-68034-2_6","title":"Healthcare System and Infra-Security","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Information and Cyber Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; York University; University of Toronto","funders":"","keywords":"Health care; Business; Computer science; Computer security; Political science","score_opus":0.01509958850015386,"score_gpt":0.26277941067918836,"score_spread":0.2476798221790345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402118942","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000963867,0.041889645,0.000285218,0.004596432,0.0016277464,0.0007003025,0.00007170593,0.00063905504,0.9500935],"genre_scores_gemma":[0.84333885,0.0023452868,0.005337585,0.0042177984,0.00074445974,0.00030640265,0.00007444919,0.0001452913,0.14348987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986843,0.0000122287975,0.00038103916,0.00037604413,0.0003250011,0.00022137919],"domain_scores_gemma":[0.99921495,0.000017920373,0.00012731412,0.0004599342,0.00008133118,0.00009857132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024098795,0.00022862351,0.0002737965,0.00022741829,0.000060631017,0.00030662408,0.00047830192,0.00028295288,0.000018612503],"category_scores_gemma":[0.0000019565707,0.00021498467,0.00006259648,0.000072207426,0.00007744862,0.00029169788,0.00048771553,0.0005216731,0.00024412804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014415231,0.0000032530882,0.00012925272,0.0011196942,0.000010581509,0.000044260923,0.0042068386,2.0316392e-8,2.2572342e-9,0.9610719,0.0010058633,0.03240687],"study_design_scores_gemma":[0.00026684662,0.00007934718,0.00013110819,0.0024904096,0.000014272203,0.00012140257,0.00009545393,0.010956245,0.000010824469,0.1838173,0.8013761,0.000640702],"about_ca_topic_score_codex":0.000016684082,"about_ca_topic_score_gemma":0.000029630031,"teacher_disagreement_score":0.84324247,"about_ca_system_score_codex":0.00012097037,"about_ca_system_score_gemma":0.000078762285,"threshold_uncertainty_score":0.87668204},"labels":[],"label_agreement":null},{"id":"W4402118965","doi":"10.1007/978-3-031-68034-2_2","title":"The Basic of Cybersecurity Concept","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; York University; University of Toronto","funders":"","keywords":"Computer security; Computer science","score_opus":0.01353940462733752,"score_gpt":0.24848246455637008,"score_spread":0.23494305992903255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402118965","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019301417,0.14056829,0.0009806406,0.0040802364,0.006628643,0.0009405283,0.000039956478,0.00034250304,0.8462262],"genre_scores_gemma":[0.30152658,0.013127796,0.003395968,0.0010276296,0.002090638,0.00021517141,0.000018227256,0.0001835214,0.67841446],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99874854,0.000019208137,0.0003336494,0.0003721169,0.00033897854,0.0001875348],"domain_scores_gemma":[0.99904704,0.00010415204,0.00016510663,0.00057740946,0.00007052912,0.00003578715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027379248,0.00017633347,0.00021554941,0.00009946731,0.00008342356,0.00012699263,0.00082758145,0.00021401243,0.00009529085],"category_scores_gemma":[0.000006298075,0.0001304088,0.00013045028,0.00010773873,0.00030915442,0.00011414114,0.0004512036,0.00053952006,0.00008799424],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040377076,0.0000071228023,0.000008262459,0.000032327942,0.000019906061,0.00001362709,0.0009114122,5.252614e-7,1.2100126e-7,0.76406443,0.00372828,0.23120996],"study_design_scores_gemma":[0.00007363643,0.00006796029,0.000010318467,0.0003380025,0.000009445333,0.000007306933,0.000005505758,0.0031589528,0.00019183842,0.33564126,0.6603438,0.00015192688],"about_ca_topic_score_codex":0.000008636428,"about_ca_topic_score_gemma":0.00003760154,"teacher_disagreement_score":0.65661556,"about_ca_system_score_codex":0.000045345274,"about_ca_system_score_gemma":0.000047377824,"threshold_uncertainty_score":0.5317916},"labels":[],"label_agreement":null},{"id":"W4402118967","doi":"10.1007/978-3-031-68034-2","title":"Understanding Cybersecurity Management in Healthcare","year":2024,"lang":"en","type":"book","venue":"Progress in IS","topic":"Information and Cyber Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University; University of Calgary","funders":"","keywords":"Computer security; Health care; Computer science; Business; Political science","score_opus":0.06233653107844179,"score_gpt":0.3058351063503992,"score_spread":0.2434985752719574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402118967","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000018642522,0.008304159,0.004197824,0.009891554,0.0018599583,0.0010851095,0.000025373432,0.00035925425,0.9742581],"genre_scores_gemma":[0.36336246,0.0065994593,0.03508231,0.018552512,0.0008018252,0.0013874953,0.00036082248,0.0002976469,0.57355547],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981972,0.000039005216,0.00045467168,0.00045404088,0.00047292354,0.00038214395],"domain_scores_gemma":[0.99927354,0.000019686731,0.00011201364,0.00049996737,0.00002515604,0.00006965697],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004276796,0.00023776756,0.0002603076,0.0006308453,0.00004878868,0.00029221966,0.00082064606,0.00023527528,0.00002569635],"category_scores_gemma":[0.0000016940105,0.0002476931,0.00008051486,0.0004085129,0.000060816958,0.00035756786,0.00061005633,0.00070482714,0.00022130884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023886548,0.000020512663,0.00021165879,0.0007306708,0.000016928352,0.000202017,0.005884096,5.0468503e-7,5.6194077e-10,0.9508903,0.022272523,0.019768395],"study_design_scores_gemma":[0.00044576914,0.000036265115,0.00021096048,0.0015585477,0.000009468301,0.000011853538,0.0002014091,0.0077562276,0.0000023602993,0.6824062,0.30680144,0.0005595211],"about_ca_topic_score_codex":0.000019651352,"about_ca_topic_score_gemma":0.00020054629,"teacher_disagreement_score":0.40070266,"about_ca_system_score_codex":0.001398896,"about_ca_system_score_gemma":0.00017343965,"threshold_uncertainty_score":0.99999756},"labels":[],"label_agreement":null},{"id":"W4402118975","doi":"10.1007/978-3-031-68034-2_1","title":"The Healthcare Environment","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; York University; University of Toronto","funders":"","keywords":"Health care; Political science","score_opus":0.06355692988974841,"score_gpt":0.28132634418313984,"score_spread":0.21776941429339142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402118975","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000071140425,0.23001203,0.000010771222,0.09690666,0.00086326245,0.00063440163,0.00029985292,0.000043242802,0.6712227],"genre_scores_gemma":[0.022269145,0.04274083,0.000116523755,0.002230315,0.00044367206,0.00030543908,0.000026732372,0.000111661764,0.93175566],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99837565,0.000005133485,0.0006760098,0.00050946267,0.00006146584,0.00037224533],"domain_scores_gemma":[0.99912244,0.000034328943,0.0002233956,0.00053354044,0.000006013598,0.00008025595],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00049555046,0.00022491114,0.0003388045,0.00019228943,0.0001055397,0.000095500116,0.00030434312,0.00022538211,0.00038458282],"category_scores_gemma":[0.000005147913,0.00020531751,0.00012822688,0.000029557925,0.00012313273,0.00003187532,0.00022104091,0.00047889375,0.0050898828],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003274524,0.0000069862726,0.00033340201,0.00021762491,0.000041796073,0.000016529928,0.00029333736,3.1363555e-7,4.429594e-10,0.935262,0.004142098,0.05968263],"study_design_scores_gemma":[0.00004149707,0.000023064691,0.00007145861,0.00008155131,0.0000025008928,6.4535305e-7,0.0000068223285,0.00003357924,1.7500076e-7,0.38493633,0.61467767,0.0001246916],"about_ca_topic_score_codex":0.00028228495,"about_ca_topic_score_gemma":0.00015483062,"teacher_disagreement_score":0.61053556,"about_ca_system_score_codex":0.00033544833,"about_ca_system_score_gemma":0.00002050425,"threshold_uncertainty_score":0.99568474},"labels":[],"label_agreement":null},{"id":"W4402118981","doi":"10.1007/978-3-031-68034-2_4","title":"Data and Information Security","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; York University; University of Toronto","funders":"","keywords":"Information security; Computer science; Computer security","score_opus":0.19680858132879125,"score_gpt":0.43660748731482996,"score_spread":0.2397989059860387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402118981","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000024221574,0.006275441,0.0000962718,0.005287462,0.0006478391,0.0003982313,0.004677953,0.00005082461,0.98254174],"genre_scores_gemma":[0.022476144,0.006298287,0.0022703689,0.005626031,0.00054350897,0.00008016626,0.005178609,0.00006643661,0.95746046],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99798256,0.000015856152,0.00055620726,0.00042552993,0.00090717006,0.000112661386],"domain_scores_gemma":[0.9983168,0.0001376236,0.00017450155,0.0012722586,0.000056188666,0.000042622425],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025323776,0.00013448599,0.00021222969,0.00035004123,0.000031847467,0.00080075813,0.0011929875,0.0001257146,0.0005801005],"category_scores_gemma":[0.0001606717,0.00010447423,0.000025138714,0.00007772428,0.00014671494,0.0017142264,0.0028394535,0.0002351275,0.0016669197],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044750414,0.000004085551,0.00006078588,0.000083226754,0.000013529104,0.000008213136,0.00062226737,2.573888e-8,8.017406e-10,0.5138197,0.12615874,0.35922495],"study_design_scores_gemma":[0.00004186981,0.000007122175,0.000037326765,0.00007714602,0.000010338987,0.0000010709122,0.00006494803,0.0004526949,1.6362755e-7,0.35096174,0.64826614,0.00007946219],"about_ca_topic_score_codex":0.000006901802,"about_ca_topic_score_gemma":0.000064492655,"teacher_disagreement_score":0.52210736,"about_ca_system_score_codex":0.000017759921,"about_ca_system_score_gemma":0.00002262926,"threshold_uncertainty_score":0.9991104},"labels":[],"label_agreement":null},{"id":"W4402118982","doi":"10.1007/978-3-031-68034-2_8","title":"Cybersecurity Risk Analysis, Assessment, and Mitigation","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; York University; University of Toronto","funders":"","keywords":"Risk analysis (engineering); Computer security; Computer science; Business","score_opus":0.010508911705836265,"score_gpt":0.2861990851218784,"score_spread":0.27569017341604213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402118982","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009805611,0.009396529,0.009796993,0.0013249812,0.0007321937,0.0005816357,0.00016280505,0.00037996646,0.97664434],"genre_scores_gemma":[0.8469206,0.0053355303,0.039330855,0.0014370265,0.0003613826,0.000185547,0.0003888444,0.00008908822,0.1059511],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986247,0.00002111707,0.00037488266,0.00043240216,0.0003687106,0.00017818363],"domain_scores_gemma":[0.9991194,0.00003210913,0.00023760319,0.00046157156,0.00007652895,0.00007277439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003817146,0.00022521213,0.00029608532,0.00053093745,0.00007584012,0.00042962006,0.00038483695,0.00022376291,0.0001048187],"category_scores_gemma":[0.0000029936461,0.00021825287,0.00014438333,0.00024280003,0.00010198733,0.00044025987,0.00032173184,0.00056512817,0.00008169255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.055212e-7,0.000010340386,0.0063677668,0.000064341024,0.00021824581,0.000015084647,0.0021749942,8.0311446e-7,1.3676537e-8,0.94663066,0.0005251762,0.043991663],"study_design_scores_gemma":[0.0004433192,0.000069214184,0.019648934,0.00030397397,0.00068190857,0.000013633345,0.000045293527,0.12986577,0.000018418194,0.59737533,0.25053257,0.0010016279],"about_ca_topic_score_codex":0.00001929233,"about_ca_topic_score_gemma":0.0000868534,"teacher_disagreement_score":0.8706932,"about_ca_system_score_codex":0.000091620204,"about_ca_system_score_gemma":0.00006557795,"threshold_uncertainty_score":0.89000934},"labels":[],"label_agreement":null},{"id":"W4402118986","doi":"10.1007/978-3-031-68034-2_11","title":"Conclusion","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; York University; University of Toronto","funders":"","keywords":"Medicine","score_opus":0.014878232397398218,"score_gpt":0.2649719199244411,"score_spread":0.25009368752704286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402118986","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000006064577,0.0051585953,0.000600786,0.001547765,0.00088249875,0.00016515116,0.000008011989,0.00018916086,0.99144197],"genre_scores_gemma":[0.016326917,0.0004885787,0.0051825806,0.0027954455,0.00026277118,0.000046888446,0.000027378223,0.000043876913,0.97482556],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909556,0.0000034942366,0.00023705603,0.00023995672,0.00028188634,0.00014203656],"domain_scores_gemma":[0.99946195,0.000011265144,0.00007314319,0.000368528,0.000044972923,0.000040112427],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012795131,0.00015161186,0.00014799378,0.00016769343,0.00003692687,0.00018066388,0.00058406027,0.00017992435,0.00022826491],"category_scores_gemma":[0.0000014405712,0.00013709102,0.00007004649,0.000049340884,0.00005187905,0.00022097022,0.0006331474,0.00032604206,0.0015599774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.0565494e-7,0.0000033907136,0.00001103534,0.000050118277,0.000005563031,0.000032151052,0.0016333227,5.5026234e-8,1.7756728e-8,0.8874324,0.004378824,0.106452405],"study_design_scores_gemma":[0.00007377647,0.000015615466,0.000010193181,0.00022479166,0.0000030700596,0.000009271894,0.0000024471276,0.0035496498,0.000022463408,0.14915101,0.84676546,0.0001722291],"about_ca_topic_score_codex":0.0000016045816,"about_ca_topic_score_gemma":0.000004025783,"teacher_disagreement_score":0.84238666,"about_ca_system_score_codex":0.00005697845,"about_ca_system_score_gemma":0.0000486487,"threshold_uncertainty_score":0.99921745},"labels":[],"label_agreement":null},{"id":"W4402140322","doi":"10.1007/978-3-031-68034-2_5","title":"Personal Security","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; York University; University of Toronto","funders":"","keywords":"Business; Computer science; Computer security","score_opus":0.014742481615509354,"score_gpt":0.2568211997706628,"score_spread":0.24207871815515347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402140322","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000027390408,0.0062858094,0.00019993586,0.0017884491,0.0008987866,0.00019008735,0.000029339259,0.00023209184,0.9903481],"genre_scores_gemma":[0.113207236,0.00062328315,0.0042638173,0.0041245334,0.00074911624,0.00012357633,0.00006673165,0.00009453585,0.8767472],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99876505,0.000005565285,0.00026991984,0.00034165088,0.00040288875,0.00021492362],"domain_scores_gemma":[0.99943817,0.000014032798,0.00008442898,0.00033990992,0.000059516857,0.00006396661],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017290788,0.00021622534,0.00019677874,0.00020319638,0.000041939034,0.00027174322,0.0006562678,0.00023305141,0.0004146168],"category_scores_gemma":[0.0000019626098,0.00020589498,0.00012423116,0.00006670346,0.000083462925,0.00030515963,0.00040730412,0.0005700527,0.0014882679],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013555494,0.000008699927,0.000037072627,0.000105272615,0.000014839525,0.00005203066,0.0077539147,1.8434807e-8,6.1088263e-9,0.94683796,0.0063538984,0.038834903],"study_design_scores_gemma":[0.000095375675,0.00002024493,0.000020520134,0.0002087471,0.0000057452726,0.000021765838,0.0000102350305,0.008118632,0.000009374374,0.22723125,0.76398146,0.00027664407],"about_ca_topic_score_codex":0.0000027567949,"about_ca_topic_score_gemma":0.000009591431,"teacher_disagreement_score":0.75762755,"about_ca_system_score_codex":0.000079448735,"about_ca_system_score_gemma":0.00008027854,"threshold_uncertainty_score":0.9992892},"labels":[],"label_agreement":null},{"id":"W4402140366","doi":"10.1007/978-3-031-68034-2_10","title":"Cybersecurity Challenges, Best Practices, and Future Work in Healthcare","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; York University; University of Toronto","funders":"","keywords":"Health care; Work (physics); Best practice; Computer security; Computer science; Business; Internet privacy; Engineering; Political science","score_opus":0.07995038786430368,"score_gpt":0.33571933947908733,"score_spread":0.25576895161478364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402140366","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000455018,0.5587388,0.0000135051505,0.39761952,0.0012401211,0.00064066245,0.00007375018,0.0006024601,0.04102562],"genre_scores_gemma":[0.009128846,0.65313256,0.3113343,0.0014755382,0.0020155224,0.00069226086,0.00014703268,0.0003714707,0.021702478],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99705315,0.000045488283,0.000460352,0.0014516193,0.00048666523,0.00050274626],"domain_scores_gemma":[0.993102,0.0001533281,0.000444373,0.0061476924,0.000061158185,0.000091423666],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":["open_science"],"category_scores_codex":[0.0006472642,0.00044418644,0.00049158314,0.00052535924,0.000051943673,0.00027406312,0.01265648,0.0010044627,0.000018369561],"category_scores_gemma":[0.00072709564,0.0004426631,0.00005489131,0.00027812523,0.0002472345,0.00056150916,0.053659733,0.0023374355,0.000078065896],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012838658,0.00004496978,0.0008189783,0.0007688811,0.000031789205,0.0007252907,0.00069571106,1.136261e-8,1.0951899e-8,0.29279876,0.018756224,0.68534654],"study_design_scores_gemma":[0.00011802081,0.000056232522,0.00013960745,0.0013868508,0.00000846066,0.000032424712,0.00003860483,0.00022024364,0.0000015465002,0.46280578,0.53484124,0.00035103265],"about_ca_topic_score_codex":0.00010571613,"about_ca_topic_score_gemma":0.00072638685,"teacher_disagreement_score":0.68499553,"about_ca_system_score_codex":0.0002350884,"about_ca_system_score_gemma":0.00012015318,"threshold_uncertainty_score":0.99996424},"labels":[],"label_agreement":null},{"id":"W4402140393","doi":"10.1007/978-3-031-68034-2_7","title":"Detection and Prevention of Cyberattacks in Healthcare","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; York University; University of Toronto","funders":"","keywords":"Health care; Medical emergency; Computer security; Internet privacy; Business; Medicine; Computer science; Political science","score_opus":0.018007948645580814,"score_gpt":0.2909652207394643,"score_spread":0.2729572720938835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402140393","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012435919,0.09333909,0.012481382,0.012583046,0.005121511,0.004880048,0.000094442235,0.000704846,0.8583597],"genre_scores_gemma":[0.9656008,0.0007689909,0.0024355573,0.0002632388,0.00006366889,0.00007324788,0.000011488884,0.00002330006,0.030759739],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992047,0.000011244783,0.0003193614,0.00019824876,0.00016627419,0.00010016191],"domain_scores_gemma":[0.9996201,0.000008972042,0.00011662949,0.00018358625,0.000046001038,0.0000247411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018983378,0.00010743627,0.00015857737,0.00027984258,0.0000157951,0.00005708476,0.00015253141,0.00017065635,0.000010246077],"category_scores_gemma":[0.0000019192328,0.00010905191,0.000036549452,0.00007867381,0.000037068105,0.00022825533,0.00013030319,0.00027608254,0.00001313229],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049263576,0.000009295104,0.00043351838,0.00045752907,0.0000068272566,0.000007465021,0.0025017117,2.1728137e-7,3.000458e-7,0.43206888,0.0000350294,0.5644743],"study_design_scores_gemma":[0.00092885434,0.0004414742,0.0047550793,0.0037388052,0.000018620816,0.000054000255,0.000050056573,0.021369241,0.00093705766,0.88041425,0.086497754,0.00079480663],"about_ca_topic_score_codex":0.000024633135,"about_ca_topic_score_gemma":0.0003222762,"teacher_disagreement_score":0.9531649,"about_ca_system_score_codex":0.0000550492,"about_ca_system_score_gemma":0.000037676087,"threshold_uncertainty_score":0.44470078},"labels":[],"label_agreement":null},{"id":"W4405216400","doi":"10.1007/978-3-031-68034-2_12","title":"Correction to: Understanding Cybersecurity Management in Healthcare","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Information and Cyber Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; York University; University of Toronto","funders":"","keywords":"Health care; Computer security; Computer science; Data science; Political science; Law","score_opus":0.036626952932645916,"score_gpt":0.2949307450140141,"score_spread":0.2583037920813682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405216400","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000017846589,0.001917324,0.006162838,0.009005799,0.006211731,0.0009771028,0.000011715075,0.00027635,0.9754193],"genre_scores_gemma":[0.5983033,0.0015651985,0.010103603,0.008515319,0.00037199276,0.00047685273,0.00007455765,0.00014072836,0.3804484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984982,0.00001323833,0.00039342913,0.00043109996,0.00038184662,0.00028216533],"domain_scores_gemma":[0.99939746,0.000019402833,0.000090009205,0.00038577642,0.000025840696,0.00008149118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030015816,0.00021740662,0.00021236327,0.0006702626,0.000053369433,0.00022835583,0.00047128656,0.0001535917,0.000037694717],"category_scores_gemma":[0.0000021146936,0.00023464981,0.0000690458,0.00023988742,0.000031390842,0.00026867643,0.00042901118,0.0005564001,0.00031043217],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004561183,0.00001047805,0.000116281575,0.00018217128,0.000012157679,0.00007432817,0.004435656,0.000001917875,2.005546e-9,0.9491118,0.005026441,0.041024208],"study_design_scores_gemma":[0.00038599674,0.00009655739,0.00032136752,0.0026141978,0.000012299434,0.000021253074,0.00030020927,0.015661996,0.000008711165,0.68158895,0.2982385,0.00074997364],"about_ca_topic_score_codex":0.00005703528,"about_ca_topic_score_gemma":0.00063495507,"teacher_disagreement_score":0.5982855,"about_ca_system_score_codex":0.00093779067,"about_ca_system_score_gemma":0.000043692315,"threshold_uncertainty_score":0.95687413},"labels":[],"label_agreement":null},{"id":"W4410449987","doi":"10.1007/978-3-031-86958-7_1","title":"Ethical Considerations in AI-Enabled Services","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IBM (Canada); Government of Canada","funders":"","keywords":"Engineering ethics; Business; Computer science; Psychology; Engineering","score_opus":0.0203643137649191,"score_gpt":0.320544823137855,"score_spread":0.3001805093729359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410449987","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008791495,0.0049140155,0.0033038442,0.13543014,0.0024552478,0.0013767414,0.00006251415,0.0005267384,0.8518428],"genre_scores_gemma":[0.16442643,0.00089876965,0.15571964,0.14414771,0.0008720561,0.0016793079,0.00014638496,0.00024917565,0.53186053],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979276,0.00006282428,0.0006136901,0.00071362796,0.0003664368,0.00031583873],"domain_scores_gemma":[0.9981552,0.00047493717,0.00017543428,0.00089746906,0.00023217604,0.00006478406],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002804105,0.00030855095,0.00040469202,0.0005902856,0.000099456876,0.00037444386,0.0009531301,0.0008145885,0.00046133852],"category_scores_gemma":[0.00002796593,0.0003303206,0.000096843236,0.00018595488,0.000101630656,0.0004030629,0.0007161243,0.002179008,0.00020934237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045292736,0.000059693735,0.001737134,0.0002480809,0.000039935592,0.00020249133,0.001972856,0.000016013719,5.657584e-7,0.9816732,0.0057288827,0.0083166575],"study_design_scores_gemma":[0.0005718231,0.00005563998,0.00064750237,0.0031439373,0.000029607067,0.00004765366,0.00004514577,0.022701617,0.00008435852,0.68489426,0.28699335,0.00078507635],"about_ca_topic_score_codex":0.000109217945,"about_ca_topic_score_gemma":0.0021082864,"teacher_disagreement_score":0.31998232,"about_ca_system_score_codex":0.00018217413,"about_ca_system_score_gemma":0.00032673732,"threshold_uncertainty_score":0.9999149},"labels":[],"label_agreement":null},{"id":"W4410740686","doi":"10.1007/978-3-031-91524-6_7","title":"AI for IoT and OT Security","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University; MacEwan University; York University; University of Toronto","funders":"","keywords":"Internet of Things; Computer science; Computer security","score_opus":0.016019807313952573,"score_gpt":0.28476576190524866,"score_spread":0.2687459545912961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410740686","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00045377918,0.06456747,0.082167596,0.023904849,0.04327908,0.0043679066,0.000030071502,0.0010896289,0.7801396],"genre_scores_gemma":[0.016650151,0.0008481005,0.2894235,0.01580601,0.017138487,0.00056003797,0.000076836506,0.00028750763,0.6592094],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988265,0.000008463306,0.00023402952,0.00051423785,0.00014775281,0.00026902775],"domain_scores_gemma":[0.99931324,0.000102436854,0.0000926585,0.00036486392,0.000079191756,0.000047626014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021554758,0.00021390743,0.00028236993,0.00017635492,0.000090443245,0.00017630635,0.00055793434,0.00021699228,0.0000029704938],"category_scores_gemma":[0.0000116265455,0.0002155557,0.000076012955,0.00005106865,0.00007490209,0.00006781856,0.0006059487,0.00029569454,0.0000064649153],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007469762,0.00001912205,0.000774231,0.00039175735,0.00003086071,0.000018997807,0.0011252401,1.083395e-7,8.6522775e-8,0.22998832,0.051767714,0.7158761],"study_design_scores_gemma":[0.00026835146,0.000054065076,0.000054178647,0.000504266,0.000011263101,0.0000050210842,8.1599785e-7,0.014848462,0.000038587987,0.24071935,0.7431919,0.00030374204],"about_ca_topic_score_codex":0.000003499483,"about_ca_topic_score_gemma":0.0000026345326,"teacher_disagreement_score":0.71557236,"about_ca_system_score_codex":0.000038163344,"about_ca_system_score_gemma":0.00010043611,"threshold_uncertainty_score":0.8790106},"labels":[],"label_agreement":null},{"id":"W4410742598","doi":"10.1007/978-3-031-91524-6_6","title":"AI for Cloud Security","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University; MacEwan University; York University; University of Toronto","funders":"","keywords":"Cloud computing; Computer science; Computer security; Operating system","score_opus":0.02234341962687558,"score_gpt":0.3024621383690097,"score_spread":0.2801187187421341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410742598","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00002626614,0.048511285,0.19253033,0.07109478,0.013143148,0.0082412325,0.0071350606,0.001881216,0.65743667],"genre_scores_gemma":[0.011213911,0.001980751,0.22463958,0.025284426,0.0042025354,0.0028290618,0.0017149176,0.0003466523,0.72778815],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980866,0.000016618293,0.00040059624,0.0008037489,0.00030501498,0.0003874668],"domain_scores_gemma":[0.99812824,0.00015997047,0.00014881071,0.0013225647,0.00016149756,0.000078897916],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027226785,0.00030785045,0.00038805988,0.00027208193,0.000114591094,0.00020019927,0.0017772439,0.00038310865,0.000055827637],"category_scores_gemma":[0.000042586635,0.00034661044,0.00019301505,0.00012306831,0.00015307746,0.00020405844,0.0010973465,0.0005351708,0.00006344194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042029797,0.000034949528,0.000056767927,0.00013430878,0.000025619236,0.000010879899,0.0004146323,1.0259733e-7,2.5151405e-8,0.82430106,0.14883305,0.026184408],"study_design_scores_gemma":[0.00020800218,0.000029430648,0.0000069456846,0.00024348708,0.000014365319,0.0000032355347,0.0000011728034,0.0040509314,0.000011813898,0.33060387,0.66457856,0.00024818484],"about_ca_topic_score_codex":0.000012049556,"about_ca_topic_score_gemma":0.00010445047,"teacher_disagreement_score":0.5157455,"about_ca_system_score_codex":0.00015342726,"about_ca_system_score_gemma":0.00023313286,"threshold_uncertainty_score":0.9998986},"labels":[],"label_agreement":null},{"id":"W4410742650","doi":"10.1007/978-3-031-91524-6_5","title":"AI for Software Security","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University; MacEwan University; York University; University of Toronto","funders":"","keywords":"Computer science; Computer security","score_opus":0.01277303187681057,"score_gpt":0.300968780402728,"score_spread":0.28819574852591745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410742650","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[3.2394465e-7,0.002926661,0.97011876,0.0011176935,0.000515626,0.0010044861,0.000070557755,0.0011829527,0.023062933],"genre_scores_gemma":[0.00058446603,0.0003052229,0.7956988,0.0031366553,0.0002015787,0.0012611536,0.000024624123,0.000077470104,0.19871002],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99860555,0.000008111485,0.0002919876,0.00064368267,0.00020595289,0.00024472072],"domain_scores_gemma":[0.99876654,0.0001032766,0.00015639122,0.0007372142,0.00019446101,0.000042131276],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013535102,0.00026240668,0.0003112446,0.0003058553,0.000065186825,0.0000866497,0.00091602287,0.00033368854,0.000025259727],"category_scores_gemma":[0.00004225347,0.00028511757,0.0001379971,0.000082992534,0.000080462116,0.00023099805,0.00048028765,0.00040610923,0.000010254515],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000872023,0.000016310933,0.000056307945,0.00023193871,0.00001607113,0.000014308121,0.00013162296,2.7040187e-7,1.0319373e-7,0.3017606,0.016199304,0.68156445],"study_design_scores_gemma":[0.000098080796,0.00005380705,0.000002390379,0.00024619178,0.000004622192,0.0000028376035,3.7075225e-7,0.00037246346,0.00078657875,0.5048658,0.4933553,0.00021153282],"about_ca_topic_score_codex":0.0000016117691,"about_ca_topic_score_gemma":0.000008401239,"teacher_disagreement_score":0.6813529,"about_ca_system_score_codex":0.00013026316,"about_ca_system_score_gemma":0.00009726213,"threshold_uncertainty_score":0.9999601},"labels":[],"label_agreement":null},{"id":"W4410742664","doi":"10.1007/978-3-031-91524-6_9","title":"Defense Methods for Adversarial Attacks and Privacy Issues in Secure AI","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University; MacEwan University; York University; University of Toronto","funders":"","keywords":"Adversarial system; Computer security; Internet privacy; Computer science; Artificial intelligence","score_opus":0.021852775456319647,"score_gpt":0.3854299382630978,"score_spread":0.36357716280677815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410742664","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000030753923,0.02166794,0.93350446,0.007712333,0.0022710224,0.002296767,0.000030087722,0.00028797187,0.032198675],"genre_scores_gemma":[0.0011228973,0.00041809387,0.9575129,0.0006675329,0.0004127078,0.0001904913,0.000022189468,0.000075793425,0.03957737],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99738055,0.0001686685,0.0005878739,0.0011124583,0.00027608167,0.00047434092],"domain_scores_gemma":[0.9980488,0.00067101215,0.0002826287,0.0007954255,0.00012275083,0.00007941044],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011261972,0.00049503084,0.00077480264,0.00058385724,0.00010562172,0.00021476725,0.0012525243,0.00062759593,0.00003438086],"category_scores_gemma":[0.00036373327,0.00051767693,0.00014674485,0.0001761035,0.00018467195,0.00037473606,0.0014956334,0.0011017814,0.0000045934607],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009769742,0.00003191251,0.0024293659,0.00039875522,0.00007159171,0.00005963483,0.003457225,0.00012100586,4.4418334e-7,0.35693228,0.00196338,0.6344367],"study_design_scores_gemma":[0.0020981242,0.00014741322,0.00017478978,0.0012399446,0.00006267281,0.000012028838,0.000018238932,0.10931074,0.000038786453,0.20585102,0.6801158,0.00093044585],"about_ca_topic_score_codex":0.000025266878,"about_ca_topic_score_gemma":0.000020845722,"teacher_disagreement_score":0.67815244,"about_ca_system_score_codex":0.00015219339,"about_ca_system_score_gemma":0.00019166415,"threshold_uncertainty_score":0.9997275},"labels":[],"label_agreement":null},{"id":"W4410742809","doi":"10.1007/978-3-031-91524-6_11","title":"AI Safety and Fairness","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University; MacEwan University; York University; University of Toronto","funders":"","keywords":"Business; Psychology; Computer science","score_opus":0.031387339089316985,"score_gpt":0.3793047853014304,"score_spread":0.3479174462121134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410742809","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016504266,0.0057816813,0.0000057564594,0.040475458,0.0003563855,0.0002871882,0.000037610327,0.000044766755,0.95299464],"genre_scores_gemma":[0.020234331,0.013894336,0.00016354476,0.0044372305,0.00046813334,0.000013553615,0.000011457799,0.00003157365,0.9607458],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988193,0.00004365415,0.00021936133,0.00027320444,0.00037792738,0.000266563],"domain_scores_gemma":[0.99930406,0.0001631773,0.00009578025,0.00014751569,0.00018936473,0.00010013316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007517628,0.0001620641,0.00030296334,0.00010865858,0.0003636435,0.00021524016,0.0002410845,0.00070237933,0.0002852433],"category_scores_gemma":[0.00013463407,0.00016849683,0.000067178655,0.000053420084,0.0009138337,0.00015013291,0.00012666045,0.0006492187,0.000012722574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010210417,0.000007754416,0.0010663704,0.000050275867,0.000020831501,0.0000108137465,0.009063698,1.5109178e-8,7.643948e-9,0.88313526,0.0032392486,0.10339551],"study_design_scores_gemma":[0.00009997508,0.000011871505,0.00020356258,0.0002987788,0.0000147292385,9.614049e-8,0.00020097604,0.0000016636375,5.1668815e-7,0.28149104,0.7175153,0.0001614581],"about_ca_topic_score_codex":0.000543422,"about_ca_topic_score_gemma":0.0025790024,"teacher_disagreement_score":0.7142761,"about_ca_system_score_codex":0.00011509007,"about_ca_system_score_gemma":0.00039849157,"threshold_uncertainty_score":0.6871101},"labels":[],"label_agreement":null},{"id":"W4410742817","doi":"10.1007/978-3-031-91524-6_13","title":"Conclusion","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University; MacEwan University; York University; University of Toronto","funders":"","keywords":"Medicine","score_opus":0.04689283373526337,"score_gpt":0.40542375875963715,"score_spread":0.3585309250243738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410742817","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000024812765,0.004898499,0.0000010814417,0.019105472,0.0005437996,0.00026890932,0.000019389689,0.000050583323,0.97508746],"genre_scores_gemma":[0.01188069,0.0046359343,0.00015772913,0.0019000001,0.00043820395,0.000010520963,0.000008270724,0.000019233034,0.9809494],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988171,0.00003838968,0.00019494042,0.00022629226,0.000470918,0.00025236138],"domain_scores_gemma":[0.99929816,0.00015320008,0.00010955748,0.00015659074,0.00020115297,0.00008131786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006865608,0.00013877278,0.00024408592,0.00011460248,0.00037067867,0.00013862018,0.00032189846,0.00074564427,0.0008176014],"category_scores_gemma":[0.00016936814,0.00014551173,0.00009772483,0.00004973613,0.0006500425,0.00009809455,0.00016152953,0.0005764282,0.00005578887],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003852215,0.000009544113,0.0003938394,0.000027202595,0.000014071574,0.000015012805,0.010753321,1.0314944e-8,3.3069128e-8,0.8864186,0.015050101,0.08731441],"study_design_scores_gemma":[0.000069159476,0.000011515747,0.00002645118,0.00031937228,0.000009753436,3.48673e-8,0.00013741809,9.98373e-7,0.0000015749863,0.26618537,0.7331116,0.00012673996],"about_ca_topic_score_codex":0.0004894433,"about_ca_topic_score_gemma":0.0018186503,"teacher_disagreement_score":0.7180615,"about_ca_system_score_codex":0.00017697632,"about_ca_system_score_gemma":0.00053839636,"threshold_uncertainty_score":0.8952162},"labels":[],"label_agreement":null},{"id":"W4410742819","doi":"10.1007/978-3-031-91524-6_3","title":"AI in Security","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University; MacEwan University; York University; University of Toronto","funders":"","keywords":"Computer science","score_opus":0.01104904045326792,"score_gpt":0.2593878161645483,"score_spread":0.24833877571128038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410742819","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00028960872,0.021187982,0.002600429,0.0078070285,0.0035926376,0.001106463,0.00001571341,0.00040263747,0.9629975],"genre_scores_gemma":[0.28305724,0.011249364,0.015962604,0.025151253,0.0021623033,0.00065373024,0.000064258165,0.00019325332,0.661506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998609,0.000028127004,0.0003347666,0.00052839576,0.00025922264,0.00024047171],"domain_scores_gemma":[0.9992429,0.00004108074,0.000101014775,0.00052390614,0.00005179289,0.000039332062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024499156,0.00021019949,0.00028255806,0.0004136763,0.000041426683,0.00011140356,0.00074106577,0.0003748,0.00012324337],"category_scores_gemma":[0.0000075042935,0.00022509586,0.00008081487,0.00019009279,0.00006998336,0.00022469318,0.0005130156,0.00081585895,0.00006019792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011183419,0.00004283552,0.0004555849,0.00009486955,0.000010430012,0.00007936267,0.0007513052,0.0000012126017,7.632432e-8,0.52192944,0.012155311,0.4644684],"study_design_scores_gemma":[0.00023026564,0.000049042632,0.00014085862,0.0007260038,0.0000036187369,0.000004885587,0.0000011707513,0.013332097,0.000040968276,0.36200052,0.62318015,0.00029041804],"about_ca_topic_score_codex":0.000019378136,"about_ca_topic_score_gemma":0.00018659023,"teacher_disagreement_score":0.61102486,"about_ca_system_score_codex":0.00011009065,"about_ca_system_score_gemma":0.00008001798,"threshold_uncertainty_score":0.9179143},"labels":[],"label_agreement":null},{"id":"W4410742820","doi":"10.1007/978-3-031-91524-6_10","title":"General Framework for AI Security and Privacy","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University; MacEwan University; York University; University of Toronto","funders":"","keywords":"Computer science; Computer security; Internet privacy","score_opus":0.015934385073917954,"score_gpt":0.3151750682795311,"score_spread":0.29924068320561314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410742820","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006309926,0.0069800853,0.94965154,0.0062403437,0.001449139,0.0011364999,0.000029342258,0.00026734718,0.034182593],"genre_scores_gemma":[0.006465231,0.0002664845,0.93774974,0.0020662013,0.0008057466,0.0001961124,0.000020759637,0.00007605051,0.05235369],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982554,0.000028836124,0.00032742857,0.00079010444,0.00026379642,0.00033446916],"domain_scores_gemma":[0.99866384,0.00027432299,0.00019588631,0.0007070833,0.00009050096,0.000068376576],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028564327,0.0003331154,0.00042725605,0.0002249711,0.00012291312,0.00021730522,0.0010777541,0.00050584465,0.000030191144],"category_scores_gemma":[0.00014361262,0.00034652324,0.000106066465,0.00008150864,0.00014037151,0.00021330177,0.0012455236,0.0009973696,0.000004970713],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000107915885,0.000010923256,0.0013311838,0.00017158514,0.000030044548,0.000015883408,0.00084879686,0.000015176248,2.4536648e-8,0.85504895,0.0010089059,0.14150774],"study_design_scores_gemma":[0.0003006538,0.000046368612,0.00008003326,0.0005556337,0.000020234093,0.000004125273,0.0000018069212,0.052350596,0.000007936196,0.7854526,0.1608028,0.00037719554],"about_ca_topic_score_codex":0.0000049480004,"about_ca_topic_score_gemma":0.0000023359917,"teacher_disagreement_score":0.1597939,"about_ca_system_score_codex":0.00007739592,"about_ca_system_score_gemma":0.00011728414,"threshold_uncertainty_score":0.9998987},"labels":[],"label_agreement":null},{"id":"W4410742988","doi":"10.1007/978-3-031-91524-6_1","title":"Why AI and Security?","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University; MacEwan University; York University; University of Toronto","funders":"","keywords":"Computer science","score_opus":0.01238897226127554,"score_gpt":0.2654781307917201,"score_spread":0.25308915853044456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410742988","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000031566492,0.00926057,0.20067453,0.007951704,0.00091399683,0.000605635,0.00000592982,0.00027491417,0.78030956],"genre_scores_gemma":[0.005834641,0.0019480143,0.038397573,0.017692085,0.00027828332,0.00008499129,0.000025270358,0.00008903464,0.9356501],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872124,0.000013532178,0.00026545086,0.0004639852,0.00030722414,0.00022855612],"domain_scores_gemma":[0.9991233,0.000053466043,0.00012396235,0.0005832966,0.000064900436,0.000051074996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014208826,0.00023341183,0.00026306647,0.0002527747,0.00004991574,0.0002441701,0.00073556916,0.00023895962,0.00005699787],"category_scores_gemma":[0.000014155974,0.00024035556,0.00005099626,0.000066975044,0.00012444721,0.00018773839,0.0008065141,0.0005295078,0.000028386843],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038436924,0.000010322023,0.0018381053,0.00030439824,0.00005315957,0.000080330734,0.0010203016,0.00017542469,3.9980115e-8,0.84729856,0.04117084,0.10804468],"study_design_scores_gemma":[0.00022320457,0.000064327345,0.000037017515,0.0006758501,0.000013952734,0.000006752979,0.0000015093334,0.08548592,0.000010581016,0.03641637,0.87670696,0.00035757845],"about_ca_topic_score_codex":0.000004193855,"about_ca_topic_score_gemma":0.0000032557612,"teacher_disagreement_score":0.8355361,"about_ca_system_score_codex":0.000047828784,"about_ca_system_score_gemma":0.000061871804,"threshold_uncertainty_score":0.98014146},"labels":[],"label_agreement":null},{"id":"W4410743021","doi":"10.1007/978-3-031-91524-6_2","title":"Understanding AI and ML","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University; MacEwan University; York University; University of Toronto","funders":"","keywords":"Computer science","score_opus":0.07465505201584716,"score_gpt":0.30921291886343366,"score_spread":0.2345578668475865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410743021","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000025754741,0.0057039135,0.24491231,0.011441003,0.00035641223,0.0002429929,0.000016195214,0.00020203501,0.73712254],"genre_scores_gemma":[0.11187494,0.002392983,0.04073904,0.0032603394,0.00028192834,0.00007466834,0.00014983336,0.000072206356,0.84115404],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991659,0.000014417336,0.00015208429,0.0003973161,0.00015175667,0.000118553085],"domain_scores_gemma":[0.9994055,0.000047991023,0.00008396983,0.00041237692,0.00001851026,0.000031652162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016809523,0.00013113905,0.00014661161,0.00020441903,0.00006113274,0.00018657981,0.0003615416,0.0001350864,0.000022680284],"category_scores_gemma":[0.0000128134625,0.0001281695,0.000023035669,0.000050902745,0.0000667681,0.00013056849,0.00027450896,0.0003341109,0.000014680334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013203638,0.0000036693295,0.0018351568,0.000052939136,0.0000068379522,0.000006154013,0.00013401377,1.8246753e-7,5.2804236e-8,0.81288606,0.003291017,0.18178257],"study_design_scores_gemma":[0.00033904568,0.000053371743,0.0010913584,0.0008931248,0.000018401115,0.000009837809,0.000008980954,0.04341778,0.000005635005,0.29955247,0.6541424,0.00046763185],"about_ca_topic_score_codex":0.0000041614053,"about_ca_topic_score_gemma":0.0000069743505,"teacher_disagreement_score":0.65085137,"about_ca_system_score_codex":0.00007356479,"about_ca_system_score_gemma":0.000046410645,"threshold_uncertainty_score":0.5226601},"labels":[],"label_agreement":null},{"id":"W4410743022","doi":"10.1007/978-3-031-91524-6_4","title":"AI for Network Security","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University; MacEwan University; York University; University of Toronto","funders":"","keywords":"Computer science; Computer security","score_opus":0.013321198016265572,"score_gpt":0.2668481890582259,"score_spread":0.2535269910419603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410743022","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000017690272,0.055823896,0.16088085,0.015002522,0.013191957,0.0042810184,0.00009539463,0.0010815564,0.74962515],"genre_scores_gemma":[0.015938247,0.0066943252,0.0986626,0.031345896,0.010064262,0.0018662977,0.00015775072,0.00025221723,0.8350184],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99844617,0.000019879399,0.00035197343,0.00060106156,0.00023080276,0.0003500957],"domain_scores_gemma":[0.9989678,0.000103994236,0.000159214,0.0005928754,0.000121556004,0.00005455615],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003207611,0.0002571388,0.00033872412,0.00015844218,0.00013543319,0.00016293432,0.00080889906,0.00043049795,0.000086957676],"category_scores_gemma":[0.0000092837245,0.00026965883,0.00017355828,0.00013325908,0.00007434284,0.00019022392,0.00044250392,0.0005274024,0.000026348007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001628315,0.0000149426805,0.000038429975,0.00009869663,0.000021761824,0.000006420084,0.00015931396,0.0000059425024,1.23263835e-8,0.6252844,0.10817589,0.26617792],"study_design_scores_gemma":[0.0001375704,0.00005592504,0.0000042830125,0.00031749075,0.0000075617018,0.0000019205909,2.66775e-7,0.018283835,0.000011654089,0.38605663,0.5949442,0.00017868537],"about_ca_topic_score_codex":0.000003335163,"about_ca_topic_score_gemma":0.000038862356,"teacher_disagreement_score":0.4867683,"about_ca_system_score_codex":0.00007518886,"about_ca_system_score_gemma":0.00008849743,"threshold_uncertainty_score":0.99997556},"labels":[],"label_agreement":null},{"id":"W4410787618","doi":"10.1007/978-3-031-91524-6_8","title":"AI Security and Privacy","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University; MacEwan University; York University; University of Toronto","funders":"","keywords":"Internet privacy; Computer security; Computer science","score_opus":0.022623628416005393,"score_gpt":0.2924284212463371,"score_spread":0.2698047928303317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410787618","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021262365,0.0779077,0.017213814,0.33335403,0.00242518,0.0025920123,0.00041405813,0.004719366,0.5611612],"genre_scores_gemma":[0.02077118,0.0117664,0.8643893,0.007806558,0.0003512323,0.00044177452,0.000121379235,0.00019721455,0.094154984],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979609,0.00001889426,0.00034121925,0.0009872607,0.0003394957,0.00035220073],"domain_scores_gemma":[0.99114394,0.00010951293,0.00015636317,0.008469011,0.000069365466,0.000051813615],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.00027626532,0.00033928148,0.00039345585,0.00039578523,0.000065730135,0.000254319,0.023429716,0.00053543947,0.000036550566],"category_scores_gemma":[0.0014225661,0.00034588622,0.000058225516,0.00014061364,0.00033198888,0.00039380803,0.1479747,0.0009441808,0.000026670235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042814722,0.000027527321,0.00195606,0.0002530403,0.00004238399,0.00011538542,0.0001935079,1.12926255e-8,1.3485683e-7,0.25279632,0.3682194,0.37639195],"study_design_scores_gemma":[0.00013773327,0.000023380291,0.00006454711,0.0004390501,0.0000069400357,0.000008136061,9.425331e-7,0.0038025018,0.000061790604,0.7449466,0.25023815,0.00027023465],"about_ca_topic_score_codex":0.0000071808686,"about_ca_topic_score_gemma":0.000006139117,"teacher_disagreement_score":0.8471755,"about_ca_system_score_codex":0.000097462216,"about_ca_system_score_gemma":0.000108361,"threshold_uncertainty_score":0.9998993},"labels":[],"label_agreement":null},{"id":"W4410787710","doi":"10.1007/978-3-031-91524-6_12","title":"AI Security Challenges, Opportunities and Future Work","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University; MacEwan University; York University; University of Toronto","funders":"","keywords":"Work (physics); Computer science; Engineering ethics; Engineering; Mechanical engineering","score_opus":0.03263729389178309,"score_gpt":0.2764023799913483,"score_spread":0.2437650860995652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410787710","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000083687755,0.21391846,0.0036302938,0.08088693,0.0027328928,0.0006918052,0.000020556847,0.00051930605,0.69759136],"genre_scores_gemma":[0.015523684,0.22136939,0.09255594,0.011428779,0.008540207,0.00043718552,0.00012256794,0.00043148288,0.6495908],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981437,0.00006089654,0.00033116754,0.00075963465,0.00037863397,0.0003260086],"domain_scores_gemma":[0.9987579,0.00010713462,0.00020149215,0.0007513074,0.00008910549,0.00009306098],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003552084,0.00041006948,0.000479165,0.0003250877,0.00011583183,0.00017741242,0.0009979266,0.0005148461,0.00007832437],"category_scores_gemma":[0.000013745337,0.0004179314,0.000082337814,0.00008134962,0.00020830847,0.00028916224,0.0012294087,0.0012067136,0.000008096121],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006014683,0.00000797871,0.0001422778,0.00014510122,0.000025863126,0.0001111275,0.0013631561,0.0000011662063,1.0067713e-9,0.5424649,0.0016102779,0.45412213],"study_design_scores_gemma":[0.00023295803,0.000032349133,0.00012926702,0.000718136,0.000019785119,0.000010606355,0.000057820616,0.0012102224,5.4119084e-7,0.08661491,0.91050947,0.00046393063],"about_ca_topic_score_codex":0.000003369864,"about_ca_topic_score_gemma":0.000008540477,"teacher_disagreement_score":0.9088992,"about_ca_system_score_codex":0.00007169918,"about_ca_system_score_gemma":0.00013800408,"threshold_uncertainty_score":0.99982727},"labels":[],"label_agreement":null},{"id":"W4411851655","doi":"10.1007/978-3-031-83512-4_1","title":"Introduction","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Philosophy","score_opus":0.03665023256147526,"score_gpt":0.37883479485933896,"score_spread":0.3421845622978637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411851655","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012026503,0.0026495007,0.0000014376359,0.07696366,0.0010577397,0.0002087402,0.00000970882,0.00005020184,0.919047],"genre_scores_gemma":[0.0024815751,0.002996481,0.00017765757,0.0007052743,0.0029454667,0.000011658779,0.000009410309,0.000015699141,0.9906568],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989514,0.00003421895,0.00017656163,0.00024695936,0.00037238258,0.00021848507],"domain_scores_gemma":[0.9994096,0.00006655476,0.00009918325,0.00016390775,0.0002033971,0.00005735456],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006772803,0.00012078713,0.00019998751,0.00013325234,0.0002448833,0.00014632053,0.00022313482,0.0005833047,0.0011550953],"category_scores_gemma":[0.00020661931,0.00013220675,0.00007876671,0.000059139635,0.000523871,0.00012744735,0.00005657916,0.0005698193,0.00007344847],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034296047,0.000008991177,0.0001662504,0.000022359956,0.00001570559,0.0000038822227,0.0054319366,2.380102e-8,2.4713627e-8,0.83120275,0.07572451,0.08742011],"study_design_scores_gemma":[0.000039451243,0.000009561218,0.00002404255,0.00008970937,0.000010303642,4.5618368e-8,0.000118721924,5.005156e-7,0.0000017685368,0.22111747,0.77848417,0.000104238155],"about_ca_topic_score_codex":0.00030446838,"about_ca_topic_score_gemma":0.0012047256,"teacher_disagreement_score":0.7027597,"about_ca_system_score_codex":0.00018374363,"about_ca_system_score_gemma":0.00035327018,"threshold_uncertainty_score":0.999758},"labels":[],"label_agreement":null},{"id":"W4411851723","doi":"10.1007/978-3-031-83512-4_27","title":"Conclusion: Practical Considerations for the Design of AI for the Workplace","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Psychology; Computer science; Engineering","score_opus":0.17680747240180136,"score_gpt":0.4674157425430933,"score_spread":0.290608270141292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411851723","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[5.982801e-7,0.010285774,0.022472374,0.8001972,0.0011750291,0.006832123,0.00021553478,0.000035156325,0.15878622],"genre_scores_gemma":[0.05017939,0.012879027,0.048426457,0.033681307,0.0033832754,0.0030010217,0.000022987164,0.00013658578,0.84828997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988907,0.00009675958,0.00027549642,0.00017768993,0.00034021685,0.00021910953],"domain_scores_gemma":[0.97389555,0.024987616,0.00020265675,0.00020583154,0.0006701729,0.000038171558],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0025726855,0.00012659059,0.00023712985,0.00003625462,0.0013430933,0.00021024038,0.00021609644,0.00043382397,0.00016080771],"category_scores_gemma":[0.0044771456,0.00008001779,0.00014830631,0.000043922548,0.0012872876,0.000097133525,0.00008285369,0.00049550825,0.0000015095155],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039762184,0.000015323867,0.000012146074,0.000028609567,0.000080472266,9.763725e-7,0.008388439,0.0000040796267,8.202805e-8,0.91699725,0.069651306,0.0047815586],"study_design_scores_gemma":[0.00016810067,0.00004393623,0.0000026977452,0.00013560512,0.00011031565,2.468051e-7,0.00077808823,0.00026130516,0.000005150096,0.51756275,0.48084813,0.000083699524],"about_ca_topic_score_codex":0.00010478151,"about_ca_topic_score_gemma":0.0009244193,"teacher_disagreement_score":0.76651585,"about_ca_system_score_codex":0.00006597727,"about_ca_system_score_gemma":0.0016602696,"threshold_uncertainty_score":0.999957},"labels":[],"label_agreement":null},{"id":"W4411858284","doi":"10.1007/978-3-031-83512-4_2","title":"The Situation Awareness, Decision, and Execution (SADE) Ladder: A Framework for Human-AI Collaborative Decision-Making","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Knowledge management; Computer science; Psychology","score_opus":0.025841424843162472,"score_gpt":0.42956711987775636,"score_spread":0.4037256950345939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411858284","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028903126,0.048602972,0.5040456,0.011273193,0.017106514,0.01193284,0.0011745659,0.00084817637,0.40212584],"genre_scores_gemma":[0.6396471,0.0029738764,0.04411396,0.00592853,0.0020879286,0.005756649,0.0005604027,0.00039563715,0.29853585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977485,0.000083604624,0.0008563966,0.00066655467,0.00036487845,0.00028004666],"domain_scores_gemma":[0.9949193,0.0032803293,0.0005411352,0.0005543486,0.0006544103,0.00005047799],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005631389,0.00035870832,0.00042844727,0.0003788234,0.00078500004,0.00029286236,0.00030066344,0.00072606234,0.0014990364],"category_scores_gemma":[0.0004254921,0.00029856493,0.00013244353,0.00016128062,0.00022719325,0.00014425706,0.00011240276,0.0006107927,0.000077033306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032918176,0.000035460667,0.00047784907,0.000027654227,0.00010580302,0.000005166206,0.0029538262,0.0000017275872,1.1796219e-7,0.57279146,0.03245812,0.39081368],"study_design_scores_gemma":[0.00057657843,0.000081327664,0.0017915225,0.0018926999,0.00005468257,0.0000045750635,0.00046456946,0.000287369,0.0000031741654,0.55974317,0.43481678,0.000283561],"about_ca_topic_score_codex":0.000005684626,"about_ca_topic_score_gemma":0.00022849387,"teacher_disagreement_score":0.63675684,"about_ca_system_score_codex":0.00017549758,"about_ca_system_score_gemma":0.00014547256,"threshold_uncertainty_score":0.99994665},"labels":[],"label_agreement":null},{"id":"W4411858459","doi":"10.1007/978-3-031-83512-4_3","title":"The Dynamics of Human-AI Interactions in Organizational Decision-Making","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Dynamics (music); Organizational dynamics; Knowledge management; Computer science; Psychology; Political science; Public relations; Pedagogy","score_opus":0.03549614161009036,"score_gpt":0.338263418426989,"score_spread":0.30276727681689863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411858459","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017356584,0.00554685,0.0049812803,0.0068108034,0.004440366,0.0015214217,0.00021298787,0.00016224301,0.9745884],"genre_scores_gemma":[0.90686136,0.00047635808,0.00068751915,0.0014263311,0.001064248,0.000077196695,0.00064988725,0.0001267398,0.08863033],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986485,0.0000032620528,0.0005734172,0.0003017142,0.00029903496,0.00017403897],"domain_scores_gemma":[0.9986959,0.00020729525,0.00035937058,0.00036089332,0.00037296396,0.0000035842063],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021083564,0.0002135039,0.00025689366,0.0005878791,0.00015423169,0.00023805958,0.00062599056,0.00012873195,0.0010239272],"category_scores_gemma":[0.00016010123,0.0001748053,0.00006153261,0.00038933352,0.0001749051,0.00042233468,0.0005398856,0.0004026637,0.000054409837],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024317786,0.000046606358,0.035632547,0.00019448677,0.000023765826,0.000009121765,0.00002232199,0.0000072262383,2.1586472e-7,0.7693003,0.0046937233,0.19004542],"study_design_scores_gemma":[0.00029662193,0.000006753028,0.006571014,0.008683353,0.000092832044,0.0000035557944,0.000098008095,0.016437974,0.000008081648,0.60948116,0.35766333,0.0006573257],"about_ca_topic_score_codex":0.00005310036,"about_ca_topic_score_gemma":0.003090171,"teacher_disagreement_score":0.90512574,"about_ca_system_score_codex":0.00009969243,"about_ca_system_score_gemma":0.000053553136,"threshold_uncertainty_score":0.99988925},"labels":[],"label_agreement":null},{"id":"W4411858488","doi":"10.1007/978-3-031-83512-4_12","title":"Understanding Artificial Intelligence as Persuasive Technologies in the Workplace: Improving Effectiveness, Ethicality, and Empowerment","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Empowerment; Psychology; Knowledge management; Computer science; Political science","score_opus":0.14220250069641113,"score_gpt":0.4156841093291732,"score_spread":0.27348160863276205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411858488","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038866785,0.014414265,0.00048304224,0.13738802,0.0011039187,0.004099126,0.000035890876,0.00031566835,0.8382734],"genre_scores_gemma":[0.99388754,0.0033798853,0.0000855582,0.00034402456,0.00007776813,0.000068766225,0.000002299743,0.000016814334,0.002137361],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99794835,0.00028798621,0.0003139656,0.00044059547,0.00061507715,0.00039402713],"domain_scores_gemma":[0.9976877,0.0017891239,0.000163886,0.00021669905,0.00010518599,0.00003742153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004162873,0.000236462,0.0003444563,0.0002420509,0.00058102136,0.00048718828,0.00052751775,0.0011666515,0.000025057858],"category_scores_gemma":[0.0013273702,0.00019877992,0.00008086965,0.00021100961,0.0022922305,0.00014413428,0.0002913815,0.0019029243,0.000003954876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003238954,0.000025030877,0.0011387881,0.00012527998,0.00001991714,0.00003425301,0.035146605,2.557972e-7,3.0872005e-7,0.91727173,0.000038396243,0.046167042],"study_design_scores_gemma":[0.000049066846,0.00006932445,0.000066039946,0.0010745141,0.000021187338,4.811484e-7,0.052140046,0.000010202145,0.00001837221,0.9440554,0.0022712522,0.0002241119],"about_ca_topic_score_codex":0.0006692658,"about_ca_topic_score_gemma":0.0044175433,"teacher_disagreement_score":0.99000084,"about_ca_system_score_codex":0.0006751536,"about_ca_system_score_gemma":0.00048762548,"threshold_uncertainty_score":0.8998285},"labels":[],"label_agreement":null},{"id":"W4411858492","doi":"10.1007/978-3-031-83512-4_15","title":"A Multi-Method Assessment of Human-AI Interaction in Delivery Driving: Examining Driver Stress, Fatigue, Attention, Situation Awareness, and Risky Driving Behavior","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Polytechnique Montréal; Université du Québec à Montréal","funders":"","keywords":"Stress (linguistics); Psychology; Applied psychology","score_opus":0.07719915327806426,"score_gpt":0.45457818501417196,"score_spread":0.3773790317361077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411858492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8563736,0.0015917798,0.02757787,0.00037750383,0.005539159,0.0045756865,0.0002538058,0.00047351603,0.10323707],"genre_scores_gemma":[0.9663686,0.00012319996,0.0057981256,0.000077569995,0.00008479825,0.00049264584,0.0003002576,0.00006727232,0.02668749],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968424,0.00028936856,0.0013662747,0.0008410909,0.00037701646,0.00028384113],"domain_scores_gemma":[0.9978003,0.000313839,0.0010312658,0.00046801835,0.000330077,0.000056535642],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005967904,0.0004434471,0.00069213036,0.0012717586,0.00015596798,0.00010060049,0.0002328333,0.0005525758,0.0021134976],"category_scores_gemma":[0.000038301845,0.0005139087,0.0001388809,0.00013616371,0.00014743104,0.00040073518,0.00018865174,0.00096007925,0.000013186048],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002293717,0.0004890696,0.92485726,0.00020241534,0.00015197115,0.00003742528,0.0030320971,0.000014856295,0.00017578021,0.00460013,0.0005212729,0.065894805],"study_design_scores_gemma":[0.0016181152,0.000110235254,0.9857323,0.0032598616,0.00016167518,0.000008576148,0.00085956964,0.0058403276,0.00008241879,0.00019003841,0.0016483226,0.00048856565],"about_ca_topic_score_codex":0.00027461917,"about_ca_topic_score_gemma":0.0017260549,"teacher_disagreement_score":0.10999503,"about_ca_system_score_codex":0.00035886158,"about_ca_system_score_gemma":0.000098880184,"threshold_uncertainty_score":0.99973124},"labels":[],"label_agreement":null},{"id":"W4411858687","doi":"10.1007/978-3-031-83512-4_16","title":"How Awareness of a User’s Cognitive State Can Improve Human-AI Teams","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Cognition; State (computer science); Psychology; Cognitive psychology; Knowledge management; Cognitive science; Computer science; Human–computer interaction; Neuroscience","score_opus":0.028254415328083007,"score_gpt":0.3831126253565305,"score_spread":0.35485821002844753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411858687","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052797105,0.0015291646,0.0002476436,0.002497553,0.003627502,0.002032786,0.0027481217,0.00028108846,0.98175645],"genre_scores_gemma":[0.27895278,0.000035107536,0.000027426111,0.0005020743,0.000102860424,0.0002693218,0.00019709571,0.000057349138,0.71985596],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99800193,0.000079594625,0.0006639713,0.00063570373,0.0003028169,0.00031599274],"domain_scores_gemma":[0.99824315,0.00013837796,0.0006127301,0.00047603276,0.00045541365,0.00007432041],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017483413,0.0004086448,0.0006647793,0.00055373437,0.00008910175,0.00008358932,0.0003058742,0.00042709103,0.0048777],"category_scores_gemma":[0.000026623498,0.00041804963,0.00021024728,0.000073197276,0.00029924157,0.00009604697,0.000118382726,0.0007704176,0.00008862636],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078365003,0.00080255483,0.021327548,0.0013903364,0.002428168,0.00031131943,0.029362248,5.737424e-7,0.000024271034,0.31770214,0.055217694,0.5706495],"study_design_scores_gemma":[0.0074919863,0.000908595,0.014458483,0.005908984,0.0005031033,0.00002960532,0.003275665,0.00007895638,0.0016835794,0.027806353,0.93543035,0.0024243223],"about_ca_topic_score_codex":0.00023761461,"about_ca_topic_score_gemma":0.00078547205,"teacher_disagreement_score":0.88021266,"about_ca_system_score_codex":0.00015118133,"about_ca_system_score_gemma":0.00017092426,"threshold_uncertainty_score":0.99982715},"labels":[],"label_agreement":null},{"id":"W4411858984","doi":"10.1007/978-3-031-83512-4_19","title":"When It Goes Right, When It Goes Wrong: Lessons Learned from Automation in Aviation","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Aviation; Aeronautics; Automation; Computer security; Computer science; Engineering; Aerospace engineering; Mechanical engineering","score_opus":0.07619524836950968,"score_gpt":0.3958785050884291,"score_spread":0.3196832567189194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411858984","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00070866744,0.0014744012,0.00052790454,0.044920877,0.002892371,0.0011291229,0.0003923307,0.00044825635,0.94750607],"genre_scores_gemma":[0.060750403,0.00027621098,0.0014051846,0.0019921644,0.0004706518,0.0005546276,0.001389848,0.00010893373,0.933052],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968788,0.00022645712,0.001184363,0.00090015755,0.00044193235,0.00036831407],"domain_scores_gemma":[0.99802583,0.0003465423,0.0006690122,0.00071834086,0.00016232875,0.00007795963],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00041092088,0.0004816723,0.00064529286,0.000905327,0.00012351542,0.00017038007,0.00045672705,0.0009040604,0.0572908],"category_scores_gemma":[0.000064803775,0.000497078,0.00019849942,0.00008717683,0.00013132261,0.00032320461,0.00011871299,0.0009276964,0.0026042496],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026821345,0.00035383026,0.0057772086,0.00017323121,0.00044985279,0.000081279846,0.041343044,0.0000070197034,0.0000034961777,0.2991123,0.3231393,0.32929122],"study_design_scores_gemma":[0.0013339769,0.000051125982,0.012208638,0.00119407,0.00007778577,0.0000033753377,0.0004234979,0.001171468,0.000025720254,0.112780824,0.87014407,0.0005854461],"about_ca_topic_score_codex":0.0004083019,"about_ca_topic_score_gemma":0.0023229793,"teacher_disagreement_score":0.54700476,"about_ca_system_score_codex":0.0004517736,"about_ca_system_score_gemma":0.000109383225,"threshold_uncertainty_score":0.9997481},"labels":[],"label_agreement":null},{"id":"W57482235","doi":"10.1007/978-3-642-39747-9_19","title":"An Evolutionary Approach to e-Tailing: Implications for Practitioners","year":2013,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Evolutionary biology; Geography; Biology","score_opus":0.034646796781828165,"score_gpt":0.3021764134811836,"score_spread":0.2675296166993555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W57482235","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00082598464,0.0046139164,0.004151053,0.0013366315,0.00041858322,0.002673748,0.00074745977,0.00061663485,0.984616],"genre_scores_gemma":[0.38678178,0.0013069536,0.17050378,0.0018924085,0.0041768453,0.012996974,0.004742777,0.0012547317,0.41634375],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99933475,0.0000034717204,0.00020528199,0.00012223986,0.000082957165,0.00025129248],"domain_scores_gemma":[0.999416,0.00003168071,0.000042664036,0.00032787173,0.00007333026,0.00010846282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000052551553,0.00021168003,0.00018947886,0.00022466006,0.000056739213,0.000051004386,0.00018775629,0.00022968523,0.00006972287],"category_scores_gemma":[0.000006496318,0.00022554041,0.00006528758,0.000042743144,0.000042621163,0.0001657015,0.000019090347,0.00017848214,0.000102426246],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029350482,0.00019640158,0.0016294541,0.0008876147,0.00025776107,4.6579692e-7,0.009544877,0.0036000642,0.000059732025,0.6076035,0.28725898,0.08893181],"study_design_scores_gemma":[0.00020862135,0.000091004804,0.0023704101,0.0001183206,0.0000476166,0.00001206043,0.00011969629,0.0037915404,0.000053900192,0.018317973,0.9741867,0.00068211526],"about_ca_topic_score_codex":0.0000065111426,"about_ca_topic_score_gemma":0.0000012143864,"teacher_disagreement_score":0.6869278,"about_ca_system_score_codex":0.00012840996,"about_ca_system_score_gemma":0.000030692132,"threshold_uncertainty_score":0.91972715},"labels":[],"label_agreement":null}]}