{"meta":{"query_hash":"5fcf721df470","filters":{"venue":"Digital Policy Regulation and Governance"},"cohort_total":9,"direct_labels_cover":0,"predictions_cover":9,"exported":9,"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/5fcf721df470","api":"https://metacan.xera.ac/api/v1/cohort?venue=Digital+Policy+Regulation+and+Governance"},"results":[{"id":"W2738798784","doi":"10.1108/dprg-05-2017-0023","title":"Restrained by design: the political economy of cybersecurity","year":2017,"lang":"en","type":"article","venue":"Digital Policy Regulation and Governance","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Global Affairs Canada","funders":"","keywords":"Cyberspace; Hacker; Law and economics; Computer security; Unintended consequences; Political science; Political economy; Sociology; Public relations; Law; Computer science","score_opus":0.02486612811503753,"score_gpt":0.30720750834261584,"score_spread":0.2823413802275783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738798784","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12186287,0.0044133896,0.08088661,0.06086194,0.0004406505,0.00010119778,0.00006677859,0.000082097176,0.73128444],"genre_scores_gemma":[0.9900108,0.0006943654,0.0022357677,0.0011027285,0.00014775078,0.00007600511,0.000012010741,0.000036253492,0.005684315],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9912663,0.006079774,0.0001415999,0.0006907467,0.0011816161,0.00064005924],"domain_scores_gemma":[0.98163027,0.012354626,0.0020281584,0.002058203,0.0010609463,0.0008678281],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.010417276,0.00035632055,0.00035408343,0.0019596303,0.0056760837,0.01131072,0.00090056635,0.0029222202,0.008614847],"category_scores_gemma":[0.015833223,0.0004258113,0.000379976,0.0018550103,0.04994109,0.009013151,0.004755238,0.0036832495,0.0006359236],"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":[0.000009695364,0.000010059272,0.0004985556,0.000020949257,0.000003980044,0.000034730234,0.0013405824,0.0007030768,0.000052328785,0.9926208,0.0006928545,0.0040122867],"study_design_scores_gemma":[0.000012003466,0.000019591242,0.0009902449,0.00008329951,0.0000059520544,0.00007715025,0.002552389,0.0020412917,0.00015403975,0.9601323,0.033919305,0.000012417776],"about_ca_topic_score_codex":0.0015699996,"about_ca_topic_score_gemma":0.0015268298,"teacher_disagreement_score":0.9943239,"about_ca_system_score_codex":0.006188847,"about_ca_system_score_gemma":0.0033418874,"threshold_uncertainty_score":0.055092514},"labels":[],"label_agreement":null},{"id":"W2952056760","doi":"10.1108/dprg-03-2019-0021","title":"Data is different, and that’s why the world needs a new approach to governing cross-border data flows","year":2019,"lang":"en","type":"article","venue":"Digital Policy Regulation and Governance","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Optimal distinctiveness theory; Interoperability; Data governance; Originality; Value (mathematics); Service (business); Corporate governance; Goods and services; Data Protection Act 1998; Business; Data as a service; Data access; Economics; Marketing; Computer science; Political science; Computer security; Data quality; World Wide Web; Law; Finance; Economy","score_opus":0.055377093173753535,"score_gpt":0.3610118898313318,"score_spread":0.30563479665757826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952056760","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019673245,0.013347279,0.08646661,0.62792885,0.002923347,0.00013632627,0.00022081664,0.00015592869,0.24914758],"genre_scores_gemma":[0.72918147,0.010615508,0.050585996,0.17923841,0.0029330866,0.00049632014,0.00029711737,0.0003638397,0.02628814],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9652675,0.019949688,0.001823267,0.0038532657,0.00756243,0.0015438843],"domain_scores_gemma":[0.9517354,0.031522285,0.0030092485,0.008325677,0.004305003,0.0011023851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0342268,0.00046569936,0.00082627096,0.0025775027,0.007963867,0.022816675,0.0020389336,0.0096422685,0.0043077655],"category_scores_gemma":[0.031938404,0.00067931315,0.0011438625,0.003903564,0.07917257,0.03503601,0.009864702,0.016473629,0.0011356376],"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":[0.000004234234,0.0000098983055,0.00026280308,0.00004662051,0.000007629556,0.000050074068,0.0021878076,0.000099417826,0.00010980354,0.9890048,0.003823879,0.0043930714],"study_design_scores_gemma":[0.0000112427015,0.000022914559,0.00042025358,0.00065700704,0.00001533277,0.0002857341,0.0077242553,0.00032361015,0.00033545482,0.7338397,0.2563313,0.00003328851],"about_ca_topic_score_codex":0.0053364127,"about_ca_topic_score_gemma":0.003039167,"teacher_disagreement_score":0.0342268,"about_ca_system_score_codex":0.0077740313,"about_ca_system_score_gemma":0.008361007,"threshold_uncertainty_score":0.18101078},"labels":[],"label_agreement":null},{"id":"W4387922482","doi":"10.1108/dprg-06-2023-0080","title":"Blockchain for environmental peacebuilding: application in water management","year":2023,"lang":"en","type":"article","venue":"Digital Policy Regulation and Governance","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Peacebuilding; Transparency (behavior); Natural resource management; Corporate governance; Conceptual framework; Environmental resource management; Natural resource; Political science; Sociology; Economics; Management; Public administration; Social science","score_opus":0.010673251267879663,"score_gpt":0.25868079287336604,"score_spread":0.24800754160548638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387922482","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10274051,0.014877751,0.6345722,0.017807648,0.0010322779,0.0015862503,0.00040297522,0.0006416766,0.22633876],"genre_scores_gemma":[0.7630551,0.011913113,0.20849073,0.0010127957,0.00017483934,0.0009530999,0.00017425456,0.0000893348,0.014136817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99737203,0.001842395,0.00009272054,0.00017097185,0.00040505393,0.00011676126],"domain_scores_gemma":[0.98932296,0.008834471,0.0003931475,0.00048741238,0.000639775,0.0003221252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038856983,0.00042998983,0.00035576778,0.0011873104,0.0015380944,0.0031932145,0.00090912957,0.0016072538,0.013112352],"category_scores_gemma":[0.00843924,0.00018134493,0.0005339816,0.0021508776,0.0023799017,0.0043794373,0.003669696,0.00126716,0.0010848504],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016790419,0.00028417603,0.0022887753,0.0019630466,0.00004669918,0.0003587403,0.0027053447,0.03322736,0.003326065,0.6889685,0.004334868,0.2623285],"study_design_scores_gemma":[0.0001341262,0.00072562444,0.0015555746,0.0024694735,0.00011861083,0.0002811607,0.00555515,0.096282646,0.009741757,0.6746645,0.2083731,0.00009827933],"about_ca_topic_score_codex":0.0017123854,"about_ca_topic_score_gemma":0.0024118596,"teacher_disagreement_score":0.013112352,"about_ca_system_score_codex":0.0022400154,"about_ca_system_score_gemma":0.0034826281,"threshold_uncertainty_score":0.043865263},"labels":[],"label_agreement":null},{"id":"W4400196172","doi":"10.1108/dprg-02-2024-0033","title":"Revisiting the (disappearing) cost of data breach disclosures","year":2024,"lang":"en","type":"article","venue":"Digital Policy Regulation and Governance","topic":"Information and Cyber Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Data breach; Value (mathematics); Originality; Event study; Business; Market value; Market data; Accounting; Actuarial science; Economics; Marketing; Finance; Law; Computer security; Political science; Context (archaeology)","score_opus":0.02487992495806979,"score_gpt":0.2876496671522601,"score_spread":0.2627697421941903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400196172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9416018,0.0035510808,0.006058052,0.015161533,0.00031638017,0.00020138733,0.0011456159,0.00007378434,0.031890225],"genre_scores_gemma":[0.99593276,0.0007461581,0.0012882298,0.00062874984,0.0001382022,0.000026648278,0.00019221082,0.00001533661,0.0010317235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9901732,0.0035689585,0.0008412763,0.0009038549,0.0039308723,0.0005818285],"domain_scores_gemma":[0.7546166,0.13725987,0.07875362,0.010306872,0.01655955,0.002503586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009419523,0.0003163986,0.00034215918,0.0025656621,0.0010663088,0.0059291157,0.0012322981,0.0013425978,0.007980539],"category_scores_gemma":[0.12296648,0.00032204576,0.0005315667,0.0022169738,0.0024106177,0.007287377,0.0021920581,0.003223391,0.0006708161],"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":[0.00060141494,0.00092787365,0.7177264,0.0015073199,0.00023540386,0.0011501365,0.0063492833,0.003009505,0.0020689846,0.03841212,0.008707465,0.21930417],"study_design_scores_gemma":[0.00005028234,0.0009699928,0.8929652,0.0014774293,0.00027980318,0.0015296557,0.030296383,0.0126906065,0.0035336064,0.021012636,0.035019584,0.00017482255],"about_ca_topic_score_codex":0.0045433333,"about_ca_topic_score_gemma":0.0048775002,"teacher_disagreement_score":0.009419523,"about_ca_system_score_codex":0.002794701,"about_ca_system_score_gemma":0.0021586427,"threshold_uncertainty_score":0.049815774},"labels":[],"label_agreement":null},{"id":"W4400202542","doi":"10.1108/dprg-10-2023-0150","title":"5G and urban amenity: regulatory trends and local government responses around small cell deployment","year":2024,"lang":"en","type":"article","venue":"Digital Policy Regulation and Governance","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Amenity; Software deployment; Context (archaeology); Government (linguistics); Business; Legislation; Public administration; Regional science; Political science; Engineering; Geography; Finance","score_opus":0.0129533892329498,"score_gpt":0.24655027755109774,"score_spread":0.23359688831814793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400202542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9635266,0.00035564788,0.00082615885,0.009190834,0.000036144993,0.0000429302,0.00008324785,0.000024460167,0.025913928],"genre_scores_gemma":[0.99704593,0.00018181819,0.00011083786,0.00049628323,0.000011593667,0.000020604459,0.000028388824,0.00000732239,0.0020971892],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99561125,0.002224081,0.00016296712,0.00043648877,0.0007138063,0.0008514755],"domain_scores_gemma":[0.99135244,0.0038862566,0.0022341746,0.00038064222,0.0012881971,0.0008583249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039380435,0.00009603994,0.00020180379,0.000981256,0.0039358763,0.0040190583,0.00092438335,0.0012445516,0.005502259],"category_scores_gemma":[0.01125015,0.00016949525,0.00017352197,0.0022590098,0.00559172,0.0023495192,0.0036470038,0.001622363,0.00035658086],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033387018,0.00021667224,0.19779593,0.00053170306,0.000027637197,0.0016476035,0.6468883,0.0012862805,0.004121233,0.05790674,0.010020605,0.07922334],"study_design_scores_gemma":[0.00000875021,0.00014569936,0.13178721,0.00021083964,0.000010274108,0.000139721,0.79926115,0.00058780937,0.0006295647,0.0024678127,0.064709425,0.000041729],"about_ca_topic_score_codex":0.047623705,"about_ca_topic_score_gemma":0.07435843,"teacher_disagreement_score":0.047623705,"about_ca_system_score_codex":0.0075935195,"about_ca_system_score_gemma":0.004328932,"threshold_uncertainty_score":0.094693005},"labels":[],"label_agreement":null},{"id":"W4401810770","doi":"10.1108/dprg-01-2024-0009","title":"Free for you and me? Exploring the value users gain from their seemingly free apps","year":2024,"lang":"en","type":"article","venue":"Digital Policy Regulation and Governance","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Engineering Link (Canada)","funders":"","keywords":"Value (mathematics); Internet privacy; Psychology; Computer science","score_opus":0.04011897210367406,"score_gpt":0.28297648333346365,"score_spread":0.2428575112297896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401810770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99539363,0.00040249608,0.00046233798,0.00050641183,0.0000112099515,0.000020309113,0.000035027406,0.000004463831,0.0031640253],"genre_scores_gemma":[0.99872005,0.00025833273,0.00039422498,0.00017119118,0.000010255634,0.000021371967,0.00002150242,0.0000044965436,0.00039859037],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.997535,0.0014530978,0.0001175641,0.00012368137,0.00050922594,0.0002614662],"domain_scores_gemma":[0.98316365,0.013208492,0.0017755679,0.00036066695,0.000777516,0.0007140143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040863384,0.00028610707,0.00034483758,0.0011613817,0.0011812302,0.00473365,0.00039162044,0.00093149935,0.0031643303],"category_scores_gemma":[0.022975171,0.00027088152,0.00046968315,0.00072049774,0.001542257,0.00513653,0.0020336031,0.0010275587,0.0003465609],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000805905,0.00055973255,0.48244494,0.0009870783,0.00028140328,0.0015881072,0.32545874,0.000280785,0.0025995884,0.009068758,0.0030878827,0.17283711],"study_design_scores_gemma":[0.0000515678,0.00080325914,0.46757236,0.0007487948,0.00028015475,0.0018143982,0.50068015,0.0022281506,0.0008819443,0.0064054844,0.0183892,0.00014458368],"about_ca_topic_score_codex":0.001325078,"about_ca_topic_score_gemma":0.0024718365,"teacher_disagreement_score":0.00473365,"about_ca_system_score_codex":0.00068474765,"about_ca_system_score_gemma":0.00045912468,"threshold_uncertainty_score":0.021610916},"labels":[],"label_agreement":null},{"id":"W4404019927","doi":"10.1108/dprg-04-2024-0067","title":"Mapping the global regulatory terrain in digital banking: a longitudinal study across countries","year":2024,"lang":"en","type":"article","venue":"Digital Policy Regulation and Governance","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Terrain; Business; Digital elevation model; Geography; Remote sensing; Cartography","score_opus":0.02340554423276372,"score_gpt":0.2736379905052492,"score_spread":0.2502324462724855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404019927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973109,0.0001748823,0.0002572862,0.00029476584,0.000005582119,0.000032366825,0.00030797327,0.000004350075,0.0016118758],"genre_scores_gemma":[0.99862516,0.00015221273,0.00024916092,0.00010784044,0.0000036097863,0.000052274303,0.00031958742,0.0000046371483,0.000485519],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817884,0.0007464382,0.00015004713,0.000301624,0.00025604185,0.00036701842],"domain_scores_gemma":[0.99138767,0.0017757079,0.0035945077,0.0008085263,0.0016230621,0.00081048685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044702278,0.00013809466,0.0003544485,0.0017254757,0.0016203546,0.0030950354,0.00041051186,0.0005446681,0.0028227093],"category_scores_gemma":[0.010606166,0.00026536715,0.00030872753,0.0029262728,0.0015488975,0.0031857996,0.002865594,0.0012029656,0.00051319256],"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":[0.000077854434,0.00026950674,0.9450615,0.000054698456,0.000038679078,0.0002833269,0.031217702,0.00026336362,0.00016991809,0.0020753334,0.0015567198,0.018931398],"study_design_scores_gemma":[0.00001192447,0.00023105819,0.8912813,0.00022462603,0.0000324209,0.00031139283,0.09587285,0.00052008795,0.000318884,0.0010519685,0.010103898,0.000039572544],"about_ca_topic_score_codex":0.017583553,"about_ca_topic_score_gemma":0.021922775,"teacher_disagreement_score":0.017583553,"about_ca_system_score_codex":0.0015081814,"about_ca_system_score_gemma":0.0021978272,"threshold_uncertainty_score":0.034962416},"labels":[],"label_agreement":null},{"id":"W4412736245","doi":"10.1108/dprg-03-2025-0066","title":"Privacy concerns toward AI-based intelligent voice assistants in the workplace","year":2025,"lang":"en","type":"article","venue":"Digital Policy Regulation and Governance","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Internet privacy; Computer science; Psychology; Human–computer interaction; Computer security; Business","score_opus":0.02437435346789061,"score_gpt":0.31914750739516984,"score_spread":0.2947731539272792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412736245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8484992,0.0040124524,0.042853836,0.041350376,0.00028271353,0.0001581831,0.00005046606,0.00015758445,0.06263527],"genre_scores_gemma":[0.9929733,0.00064651197,0.002265672,0.0021667087,0.0000762263,0.000040647203,0.000010131851,0.000013290965,0.0018074531],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.94237494,0.042987455,0.002175632,0.0022688175,0.008194134,0.0019989745],"domain_scores_gemma":[0.880354,0.09102749,0.013158575,0.005775267,0.0072515584,0.0024331007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028374288,0.0002587087,0.00032955242,0.0010617959,0.009857751,0.011355605,0.0013559472,0.0026953737,0.0021572248],"category_scores_gemma":[0.060782053,0.0003121756,0.00039653777,0.0009880465,0.013318993,0.0072020036,0.0057037408,0.003009034,0.00042261585],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013936355,0.00009749002,0.02510479,0.00037504098,0.000028503859,0.0014953532,0.8505154,0.00044791464,0.0026516374,0.045287322,0.0020951596,0.071762025],"study_design_scores_gemma":[0.000014383148,0.00024318275,0.009288691,0.0008207042,0.000038643087,0.0027871681,0.8579456,0.0013627083,0.0025707958,0.025988482,0.098874845,0.00006463623],"about_ca_topic_score_codex":0.0034621237,"about_ca_topic_score_gemma":0.001992266,"teacher_disagreement_score":0.028374288,"about_ca_system_score_codex":0.0038501918,"about_ca_system_score_gemma":0.0053373924,"threshold_uncertainty_score":0.15005934},"labels":[],"label_agreement":null},{"id":"W4416125942","doi":"10.1108/dprg-07-2025-0211","title":"The impact of legislation on online toxic content","year":2025,"lang":"en","type":"article","venue":"Digital Policy Regulation and Governance","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Legislation; Context (archaeology); Deterrence theory; Unintended consequences; Content analysis; Moderation; Digital content; Work (physics)","score_opus":0.016929181750196143,"score_gpt":0.2778688466241476,"score_spread":0.2609396648739515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416125942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.967276,0.00029291125,0.0027252024,0.0014363568,0.00009046474,0.00035225527,0.0010481456,0.00012938988,0.026649226],"genre_scores_gemma":[0.99545765,0.00014875308,0.0011041736,0.00049388927,0.000054960645,0.00019242865,0.0003277676,0.000029942832,0.0021904993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99267685,0.0026223287,0.00049998984,0.0010368901,0.002561054,0.0006028815],"domain_scores_gemma":[0.948932,0.02175345,0.016988093,0.004901309,0.0057194056,0.0017057341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049156183,0.00030404085,0.00035315804,0.0011410237,0.00155472,0.0034159233,0.0005744617,0.0008368053,0.0068764566],"category_scores_gemma":[0.03144524,0.00022306644,0.00046354113,0.0011066366,0.0027395554,0.0030450933,0.0026831885,0.0013688665,0.0009730286],"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":[0.0009464751,0.0012365731,0.7926566,0.0017893001,0.00022995213,0.0012317251,0.020579018,0.0023435773,0.021824054,0.0117164515,0.0058272146,0.13961901],"study_design_scores_gemma":[0.00003387796,0.0014069014,0.93327814,0.0003486055,0.00015751868,0.00024266791,0.0156220365,0.0028608108,0.010513661,0.0026793757,0.03276517,0.00009125432],"about_ca_topic_score_codex":0.007052677,"about_ca_topic_score_gemma":0.010478812,"teacher_disagreement_score":0.007052677,"about_ca_system_score_codex":0.002326382,"about_ca_system_score_gemma":0.002302026,"threshold_uncertainty_score":0.025996625},"labels":[],"label_agreement":null}]}