{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1237,"total_is_capped":false,"direct_labels_cover":2,"predictions_cover":1237,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"0e354db502c6","filters":{"topic":"Privacy, Security, and Data Protection"}},"results":[{"id":"W2163241745","doi":"10.1287/isre.1040.0032","title":"Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model","year":2004,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":3056,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Operationalization; Personally identifiable information; Computer science; Construct (python library); The Internet; Internet privacy; Context (archaeology); Variance (accounting); Causal model; Information privacy; Privacy by Design; Data science; World Wide Web; Business; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.09729856527823119,"gpt":0.3767261474352921,"spread":0.279427582157061,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004897978,0.0001024723,0.0001180279,0.0002062131,0.001460281,0.001650668,0.0008294823,0.0001385544,0.00001350738],"category_scores_gemma":[0.001186671,0.00006425758,0.00003115896,0.0005331263,0.0008657754,0.00582355,0.0004505505,0.000499462,0.0002631359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003213604,"about_ca_system_score_gemma":0.0005979785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02881102,"about_ca_topic_score_gemma":0.001301818,"domain_scores_codex":[0.9972905,0.0004499732,0.000485257,0.0000957014,0.001278092,0.0004005058],"domain_scores_gemma":[0.9983876,0.0002218904,0.0001839069,0.0004191554,0.0006674046,0.0001200126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001285376,0.00002486922,0.001786525,0.000250016,0.00005306091,7.292812e-7,0.4875431,0.002103865,0.00002097112,0.4578434,0.03028993,0.01995494],"study_design_scores_gemma":[0.001896211,0.000128981,0.001687153,0.00021652,0.00001490441,0.00005191094,0.173278,0.06413613,0.000209364,0.01304044,0.744978,0.0003623989],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7543641,0.0005723177,0.08684373,0.03390169,0.00210813,0.01011045,0.000399108,0.0005171058,0.1111834],"genre_scores_gemma":[0.9990097,0.0001682173,0.00006929952,0.0002383862,0.0001762214,0.0001735196,0.00003852373,0.000003838876,0.000122271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.714688,"threshold_uncertainty_score":0.9998397,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2563852449","doi":"10.3389/fdata.2019.00013","title":"Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries","year":2019,"lang":"en","type":"review","venue":"Frontiers in Big Data","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":728,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Microsoft (Canada)","funders":"","keywords":"Variety (cybernetics); Data science; Social media; Sanity; Core (optical fiber); Big data; Computer science; Internet privacy; Psychology; Public relations; Management science; Sociology; Engineering ethics; Political science; World Wide Web; Engineering; Data mining; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.6574308753712388,"gpt":0.5028642381828976,"spread":0.1545666371883412,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","open_science","research_integrity"],"consensus_categories":["open_science","research_integrity"],"category_scores_codex":[0.01005909,0.0003875598,0.001827009,0.0002593514,0.001079253,0.0009129522,0.006197559,0.002047345,0.00002720931],"category_scores_gemma":[0.01964075,0.0003375466,0.00009593864,0.0006051174,0.002076388,0.0006821513,0.008672892,0.002304892,0.00003397254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002158548,"about_ca_system_score_gemma":0.001859681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003385123,"about_ca_topic_score_gemma":0.002807108,"domain_scores_codex":[0.9922355,0.004301046,0.0006597872,0.001535715,0.0006624238,0.0006054981],"domain_scores_gemma":[0.9956489,0.000958982,0.0003669053,0.002831991,0.00003983227,0.0001534214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001023344,0.00002230228,0.00002461338,0.001160107,0.00005170097,0.000008762945,0.0003286337,2.322877e-9,4.907359e-9,0.002006884,0.3590126,0.6373742],"study_design_scores_gemma":[0.0001666103,0.00001861693,0.00001557836,0.0008998677,0.0003523287,0.000004745814,0.0003852834,0.00001532266,8.789684e-9,0.005444213,0.9922838,0.0004136797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.65134e-7,0.975653,0.007555453,0.001552645,0.00613195,0.0009438035,0.00751781,0.00008500049,0.0005599007],"genre_scores_gemma":[0.000002066962,0.9655547,0.01476033,0.0001972243,0.002537725,0.00002507007,0.01676801,0.00002933188,0.0001255732],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6369605,"threshold_uncertainty_score":0.9999968,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2081455579","doi":"10.5210/fm.v15i1.2775","title":"Aliases, creeping, and wall cleaning: Understanding privacy in the age of Facebook","year":2010,"lang":"en","type":"article","venue":"First Monday","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":372,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Mainstream; Internet privacy; Personally identifiable information; Information privacy; Privacy policy; Ethnography; Privacy by Design; Privacy software; Business; Sociology; Public relations; Political science; Computer science; Computer security; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.06693911515126244,"gpt":0.3061864419072351,"spread":0.2392473267559727,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00110423,0.0000742825,0.0001054166,0.00006795891,0.0004287941,0.00008978546,0.0005703685,0.00009884733,0.0001027192],"category_scores_gemma":[0.001011551,0.0000611159,0.00002836651,0.00016402,0.0002749672,0.0002359796,0.0001914114,0.0002584371,0.000007915987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000494071,"about_ca_system_score_gemma":0.00004159549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006315924,"about_ca_topic_score_gemma":0.008632878,"domain_scores_codex":[0.9991192,0.0001216876,0.0001518085,0.0001647872,0.000236837,0.0002056538],"domain_scores_gemma":[0.9993327,0.0001862381,0.0000736248,0.0003488837,0.0000154216,0.00004317899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004722654,0.0001554099,0.04250795,0.00008603989,0.00001972047,0.0000304465,0.856508,0.000002606576,0.001722142,0.08018813,0.01621329,0.00251902],"study_design_scores_gemma":[0.0003336721,0.00004452225,0.0186016,0.00003717921,0.000009148566,0.000002071818,0.005699894,0.00007344597,0.0002125003,0.03257821,0.9422782,0.0001295758],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685304,0.0001489612,0.0009135877,0.008889526,0.0004288717,0.0009374513,0.00001921231,0.00007457405,0.0200574],"genre_scores_gemma":[0.9992828,0.0001309551,0.000223769,0.0001360936,0.00009218911,0.00001669997,0.000007868074,0.000006096835,0.0001035245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9260649,"threshold_uncertainty_score":0.9547829,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2003020611","doi":"10.1145/1556460.1556499","title":"Information revelation and internet privacy concerns on social network sites","year":2009,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":329,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Revelation; Internet privacy; Personally identifiable information; Private information retrieval; Information privacy; The Internet; Internet users; Social network (sociolinguistics); Privacy protection; Identity (music); Psychology; Computer science; Business; World Wide Web; Computer security; Social media","retraction":null,"screen_n_in":null,"score":{"opus":0.0436342522087513,"gpt":0.3215357892579549,"spread":0.2779015370492036,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000402307,0.00006003477,0.00006914594,0.00003666912,0.0003854207,0.0001644953,0.0001279003,0.00009093137,0.0001019925],"category_scores_gemma":[0.0002905126,0.00005725235,0.00001869297,0.0001375108,0.00005642871,0.001139044,0.00004584169,0.00009283872,0.00006216559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006077322,"about_ca_system_score_gemma":0.00002833543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000649476,"about_ca_topic_score_gemma":0.0002769686,"domain_scores_codex":[0.9993691,0.00008055683,0.0001376876,0.00007616547,0.0001815225,0.0001549539],"domain_scores_gemma":[0.9997239,0.00003706138,0.00007581012,0.00007390098,0.00004501738,0.00004428338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008636097,0.00003907357,0.004264704,0.000008614636,0.000009791699,3.330578e-7,0.0439241,0.000006109618,0.00003088979,0.495632,0.2430902,0.2129079],"study_design_scores_gemma":[0.0007381453,0.0002629863,0.1823052,0.00003360426,0.00001690529,9.087846e-7,0.002993165,0.0008643574,0.0001493642,0.1295111,0.6827675,0.0003567885],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7245638,0.0001312987,0.01724113,0.02681082,0.0007078327,0.001163914,0.00001830929,0.000600969,0.2287619],"genre_scores_gemma":[0.9974636,0.00006738411,0.0003367219,0.001123223,0.0006900429,0.000003303485,0.00004596784,0.000001625284,0.0002680827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4396773,"threshold_uncertainty_score":0.2964383,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3163624904","doi":"10.1177/20539517211017308","title":"Data as asset? The measurement, governance, and valuation of digital personal data by Big Tech","year":2021,"lang":"en","type":"article","venue":"Big Data & Society","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":297,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Big data; Business; Economics; Corporate governance; Valuation (finance); Finance; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.2878700729135893,"gpt":0.3537727177091816,"spread":0.06590264479559232,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003879165,0.0001231592,0.0001506011,0.000006472247,0.0006571579,0.0004371858,0.003421557,0.0001170808,0.0000470846],"category_scores_gemma":[0.003900348,0.0001036866,0.00003297432,0.0003848804,0.0003968129,0.002301115,0.006272691,0.0002165328,0.00001296225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008559768,"about_ca_system_score_gemma":0.0008876619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002949262,"about_ca_topic_score_gemma":0.004353998,"domain_scores_codex":[0.9972143,0.0001695715,0.0002327285,0.0007664003,0.001369462,0.0002475385],"domain_scores_gemma":[0.9961816,0.0001272925,0.0002030012,0.003212505,0.0001990143,0.00007655023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000125034,0.000174259,0.001758055,0.00004458272,0.0001363033,0.00000125406,0.003012648,3.933215e-8,0.001292021,0.0005521711,0.8541082,0.138908],"study_design_scores_gemma":[0.0003777111,0.00001716744,0.002295649,0.00003513311,0.00009721331,0.000005086686,0.008130285,0.00145218,0.0001290893,0.001608766,0.9856716,0.0001801656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.09718089,0.05813713,0.04188493,0.06726681,0.006309207,0.003840749,0.6966152,0.0005031517,0.02826195],"genre_scores_gemma":[0.9361059,0.01217339,0.0008552669,0.0004714785,0.001321787,0.00001110699,0.04877186,0.00002181157,0.0002674081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.838925,"threshold_uncertainty_score":0.7818461,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126007474","doi":"10.1257/aer.102.3.349","title":"Shifts in Privacy Concerns","year":2012,"lang":"en","type":"article","venue":"American Economic Review","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":278,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Queen's University","keywords":"Digitization; Information privacy; Perception; Internet privacy; Privacy policy; Marketing; Personally identifiable information; Business; Survey data collection; Measure (data warehouse); Economics; Advertising; Psychology; Political science; Computer science; Law; Telecommunications; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.05354732880267764,"gpt":0.3609880748091749,"spread":0.3074407460064973,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001175358,0.00008810831,0.0003065514,0.00003891867,0.0000968029,0.00002500631,0.0004198963,0.00002437187,0.0005580112],"category_scores_gemma":[0.0003942219,0.00009000982,0.00006240427,0.0001587485,0.0002755853,0.0005688735,0.000122945,0.0001052528,0.001041561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000305203,"about_ca_system_score_gemma":0.0001279124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01333078,"about_ca_topic_score_gemma":0.001843586,"domain_scores_codex":[0.9988573,0.0002680138,0.0002744175,0.0001732446,0.0000669658,0.0003600942],"domain_scores_gemma":[0.9992428,0.0000719435,0.0001966222,0.0003359426,0.000007910211,0.0001447758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000071519,0.00009981213,0.09477284,0.000272941,0.00002284525,0.000001311098,0.006085867,4.704273e-7,0.000005246367,0.02963881,0.03344408,0.8356486],"study_design_scores_gemma":[0.00007346431,0.00001438382,0.0195659,0.0001696711,0.000009867663,5.432295e-7,0.00039532,0.000002459528,0.000002744488,0.0005437104,0.9790853,0.0001366769],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.434492,0.2681982,0.0002624661,0.0356394,0.002694531,0.003619864,0.00005904512,0.0003337668,0.2547008],"genre_scores_gemma":[0.8214751,0.1757047,0.0002065103,0.001985663,0.0004867963,0.00006082972,0.000007117385,0.000008682501,0.00006452535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9456412,"threshold_uncertainty_score":0.9997362,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2147383536","doi":"10.1007/s12394-010-0046-y","title":"SmartPrivacy for the Smart Grid: embedding privacy into the design of electricity conservation","year":2010,"lang":"en","type":"article","venue":"Identity in the Information Society","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":221,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Privacy Analytics (Canada)","funders":"","keywords":"Smart grid; Computer security; Consumer privacy; Accountability; Transparency (behavior); Business; Internet privacy; Information privacy; Personally identifiable information; Environmental economics; Computer science; Economics; Engineering; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.03380659812308561,"gpt":0.3338378901018255,"spread":0.3000312919787398,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008801593,0.00009606532,0.000109782,0.00004269401,0.001813457,0.0004506924,0.001463236,0.000137573,0.00002786595],"category_scores_gemma":[0.004532112,0.0000579505,0.0001432261,0.0007684864,0.0003458049,0.003463177,0.0001834887,0.0004279881,0.00001509794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000095127,"about_ca_system_score_gemma":0.0002240566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01164875,"about_ca_topic_score_gemma":0.00364319,"domain_scores_codex":[0.9983543,0.0002818848,0.0004428342,0.00009021196,0.0005955494,0.0002352587],"domain_scores_gemma":[0.99738,0.00142515,0.0003778682,0.0004838564,0.0003085812,0.00002451012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009625862,0.0001398259,0.009000673,0.0001431204,0.00009986026,1.071365e-7,0.7494352,0.0003595304,0.00120649,0.1124356,0.1098058,0.01727759],"study_design_scores_gemma":[0.00178794,0.000112878,0.05013817,0.00004286207,0.0001470303,0.000008328198,0.1081684,0.08585116,0.002025738,0.1771773,0.5740262,0.0005140316],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4377773,0.00009066306,0.5239673,0.03200842,0.001701495,0.003639473,0.00002994723,0.00008676575,0.0006987256],"genre_scores_gemma":[0.9940377,0.0003368081,0.003020376,0.001983145,0.0003356679,0.0002270403,0.00003150724,0.000004771068,0.00002293247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6412668,"threshold_uncertainty_score":0.999486,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2092439966","doi":"10.1145/503345.503347","title":"Privacy and security","year":2001,"lang":"en","type":"article","venue":"ACM SIGCAS Computers and Society","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":206,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Saint Paul University","funders":"","keywords":"Citation; Internet privacy; Computer security; Computer science; Library science; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.02652846479011308,"gpt":0.2906111903325643,"spread":0.2640827255424512,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004984545,0.0001029156,0.0001324059,0.00001599276,0.0008873814,0.0001962847,0.00034343,0.0001243781,0.0000316898],"category_scores_gemma":[0.0001929165,0.0001023369,0.00006337577,0.000151517,0.0003040801,0.0003732873,0.0006438725,0.0001635505,0.000004843479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003678695,"about_ca_system_score_gemma":0.0000391211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001612526,"about_ca_topic_score_gemma":0.0001188448,"domain_scores_codex":[0.9990658,0.00009327643,0.0001147807,0.0002757763,0.0001861279,0.0002642952],"domain_scores_gemma":[0.9993063,0.0001511417,0.00004812112,0.0002963286,0.00003926518,0.0001588426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005186996,0.0003390581,0.09267778,0.0001438478,0.0001974443,0.00005163789,0.4556501,0.000002139512,0.0002970676,0.056878,0.1932398,0.2004713],"study_design_scores_gemma":[0.001447349,0.0001300553,0.03656885,0.00004938746,0.00004440585,0.00006985975,0.01363286,0.003054727,0.00003860745,0.1278766,0.8164172,0.0006700996],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857431,0.0007892942,0.003640905,0.006767807,0.0003891178,0.0002558542,0.00000649751,0.000130893,0.002276554],"genre_scores_gemma":[0.9890829,0.005280884,0.004243709,0.0008619983,0.0004227472,0.000005316502,0.00000649385,0.000006547163,0.0000893771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6231774,"threshold_uncertainty_score":0.682511,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1589389886","doi":"","title":"Towards critical data studies: Charting and unpacking data assemblages and their work","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":200,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Unpacking; Data governance; Data science; Software deployment; Sociology; Assemblage (archaeology); Big data; Hacker; Corporate governance; Performativity; Governmentality; Politics; Computer science; Data quality; Political science; Engineering; Geography; Management; Operations management; Computer security; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.0955085135851146,"gpt":0.3866103019068088,"spread":0.2911017883216942,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.01198791,0.0001318713,0.0002076176,0.0000611699,0.00138027,0.0003525879,0.001174452,0.00008917414,0.000005948562],"category_scores_gemma":[0.01022888,0.0001061313,0.00001610563,0.0001801724,0.0003178207,0.001395435,0.001563439,0.001173573,0.000003068918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001753535,"about_ca_system_score_gemma":0.0006197196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003600753,"about_ca_topic_score_gemma":0.004098769,"domain_scores_codex":[0.9972431,0.000494591,0.0002246104,0.0004106695,0.0002651662,0.001361852],"domain_scores_gemma":[0.9985474,0.0004648181,0.0001060675,0.0006615382,0.0000843231,0.0001358483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005632055,0.00007732408,0.005307079,0.00005642371,0.0003036891,0.000004378673,0.01357859,3.326518e-7,0.0001946716,0.2564519,0.001693122,0.7222762],"study_design_scores_gemma":[0.000571404,0.0002136757,0.001325168,0.0001911946,0.0001024683,0.0001730313,0.09112746,0.0008631026,0.00004222041,0.8552809,0.04968734,0.0004220297],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6686141,0.1375732,0.1114079,0.07586815,0.002115996,0.0006949694,0.0001123543,0.0003230312,0.003290368],"genre_scores_gemma":[0.9701471,0.02808833,0.0002593196,0.0001218147,0.001322744,0.000001567517,0.00001751645,0.00001183434,0.0000297327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7218542,"threshold_uncertainty_score":0.9999198,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1520644288","doi":"10.24908/ss.v11i1/2.4456","title":"New Media and the power politics of sousveillance in a surveillance-dominated world.","year":2013,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":189,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Brandeis University","keywords":"Unpacking; Android (operating system); Computer science; Politics; Mobile device; Everyday life; Internet privacy; Wearable computer; Social media; Ubiquitous computing; Mobile technology; Computer security; Sociology; World Wide Web; Human–computer interaction; Political science; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.01291582556643378,"gpt":0.2622449194186103,"spread":0.2493290938521765,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002465631,0.0001946004,0.0004573439,0.00005367622,0.0003727578,0.0001110784,0.0005649086,0.0001603956,0.0003607336],"category_scores_gemma":[0.001531319,0.0001515944,0.000155317,0.0008697281,0.001061372,0.0002704406,0.0002382553,0.0003218412,0.00002610359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001306741,"about_ca_system_score_gemma":0.000275039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04103579,"about_ca_topic_score_gemma":0.03996338,"domain_scores_codex":[0.997515,0.0006233786,0.0004333836,0.0003528885,0.0004834657,0.0005919349],"domain_scores_gemma":[0.997881,0.001027296,0.0002264456,0.0004816901,0.0002128773,0.0001706789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001599061,0.0001273237,0.6951742,0.00009959335,0.0001129058,0.000003135957,0.1269897,0.000007065164,0.0002659497,0.04614976,0.122527,0.00838348],"study_design_scores_gemma":[0.006168574,0.00004944941,0.8280401,0.00006385566,0.000008154812,0.000005607801,0.01892425,0.0004402986,0.00009202249,0.08815803,0.05732711,0.0007225238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95165,0.00639332,0.0007465472,0.02113821,0.001163565,0.001840269,0.0001157863,0.0001994608,0.01675283],"genre_scores_gemma":[0.9961166,0.002008846,0.0005753171,0.0003433529,0.0002682302,0.00003586007,0.00001369208,0.00001737088,0.0006207484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.132866,"threshold_uncertainty_score":0.9775548,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2015464936","doi":"10.1007/s10551-006-9007-7","title":"Marketing Dataveillance and Digital Privacy: Using Theories of Justice to Understand Consumers’ Online Privacy Concerns","year":2006,"lang":"en","type":"article","venue":"Journal of Business Ethics","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":189,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Business ethics; Distributive justice; Privacy by Design; Privacy policy; Consumer privacy; Economic Justice; Business; Quality of Life Research; Internet privacy; Information privacy; Marketing; Privacy software; Public relations; Computer science; Political science; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.1130386436507653,"gpt":0.3633313736854891,"spread":0.2502927300347239,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002783988,0.000126246,0.0002996101,0.0001350802,0.0004805707,0.0002520154,0.0004402655,0.0001774075,0.00001421008],"category_scores_gemma":[0.01379037,0.0001157704,0.00003985055,0.0004342147,0.0006312827,0.0010285,0.0003082146,0.0005000833,6.680995e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198392,"about_ca_system_score_gemma":0.0007765595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001059699,"about_ca_topic_score_gemma":0.0005035468,"domain_scores_codex":[0.9981496,0.000288605,0.0005224058,0.0001588998,0.0006467698,0.0002336587],"domain_scores_gemma":[0.9967142,0.001215035,0.0006454834,0.0002115241,0.001109302,0.0001044024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.008593846,0.002886654,0.1976374,0.009624181,0.0009478129,0.0005016928,0.3331339,0.003543686,0.03120712,0.3482473,0.009996903,0.05367951],"study_design_scores_gemma":[0.007672319,0.0005402457,0.2526979,0.005581493,0.001310321,0.0005781563,0.1897456,0.001649016,0.001403809,0.3019521,0.2343155,0.002553436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9301349,0.0008915169,0.05798501,0.00912501,0.0007566573,0.0002173221,0.0002029169,0.00002176691,0.0006649016],"genre_scores_gemma":[0.9932297,0.0008348786,0.005086323,0.000151339,0.0006516097,2.077353e-7,0.00001020117,0.00001272491,0.0000229407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2243186,"threshold_uncertainty_score":0.9945169,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2160025529","doi":"10.1093/idpl/ipt005","title":"Notice and consent in a world of Big Data","year":2013,"lang":"en","type":"article","venue":"International Data Privacy Law","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":187,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute on Governance","funders":"","keywords":"Notice; Big data; Internet privacy; Context (archaeology); Cloud computing; Information privacy; Data Protection Act 1998; Business; Political science; Public relations; Computer science; Computer security; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.1747353644057261,"gpt":0.3734500337049215,"spread":0.1987146692991954,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008197039,0.00007519,0.0001167766,0.0001181275,0.00009246284,0.0001576679,0.003210439,0.00004446011,0.0002818803],"category_scores_gemma":[0.001924817,0.00007618379,0.000009406363,0.000176285,0.0003291719,0.00183269,0.004309304,0.0001299153,0.00006371583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005186537,"about_ca_system_score_gemma":0.0001147817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08820815,"about_ca_topic_score_gemma":0.07159382,"domain_scores_codex":[0.9986803,0.0001183842,0.0002737757,0.0003707059,0.0004005138,0.0001563512],"domain_scores_gemma":[0.9981499,0.0003036031,0.0001135516,0.001271123,0.00009386164,0.00006795199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000116938,0.0007500604,0.06468915,0.0001234989,0.0001629355,0.00002162682,0.004498472,0.000002238485,0.001120133,0.7064967,0.143175,0.07884325],"study_design_scores_gemma":[0.0005397123,0.00001063808,0.02098656,0.00007520321,0.00001104937,0.000002869313,0.0002901231,0.0009937871,0.00005951797,0.02735382,0.9495276,0.0001491226],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3862864,0.001695127,0.005618853,0.1315204,0.009450246,0.003621613,0.01341015,0.0003129691,0.4480842],"genre_scores_gemma":[0.9949176,0.0002960012,0.001936675,0.000527539,0.0003864649,0.00001039571,0.001616774,0.000006353471,0.0003022215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8063526,"threshold_uncertainty_score":0.9453472,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1842952039","doi":"10.2139/ssrn.2647377","title":"Social Media Definition and the Governance Challenge: An Introduction to the Special Issue","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":186,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Special section; Corporate governance; Social media; Public relations; Political science; Section (typography); Sociology; Business; Engineering; Advertising; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.0307658228503599,"gpt":0.290232466937598,"spread":0.2594666440872381,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006638804,0.00009125013,0.0001129065,0.00002849376,0.001462424,0.0002009484,0.0004600796,0.00008040628,0.00004265452],"category_scores_gemma":[0.001641734,0.00005857453,0.00004005263,0.0002053238,0.0002710977,0.0005409358,0.00008402651,0.001036947,0.00004596672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006830192,"about_ca_system_score_gemma":0.0009744251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007621319,"about_ca_topic_score_gemma":0.06672948,"domain_scores_codex":[0.9976184,0.0006440541,0.0001622303,0.0001794168,0.0005310518,0.0008648032],"domain_scores_gemma":[0.9994034,0.00006572507,0.0001354823,0.0001532643,0.0001330288,0.0001090717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000226464,0.00002776132,0.00000971268,7.187706e-7,0.00001548485,3.47224e-7,0.03243468,0.000001153896,0.000002463903,0.8824428,0.01554234,0.06929613],"study_design_scores_gemma":[0.0005806708,0.00009632138,0.0001702552,0.000001454314,0.00001715602,0.00002905776,0.02409581,0.000005526661,0.00000332277,0.6019329,0.3729952,0.00007229987],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06684562,0.004196101,0.002004579,0.9088197,0.00498146,0.0007256152,0.00001321073,0.00008042204,0.01233329],"genre_scores_gemma":[0.8816569,0.007542891,0.00003706477,0.0002604304,0.1102816,0.0000161638,0.000005656824,0.00001084389,0.0001884227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9085593,"threshold_uncertainty_score":0.9998375,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2125974619","doi":"10.1109/cse.2009.387","title":"FaceCloak: An Architecture for User Privacy on Social Networking Sites","year":2009,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":179,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Internet privacy; World Wide Web; Popularity; Personally identifiable information; Usability; Architecture; The Internet; Encryption; Information privacy; Computer security; Human–computer interaction","retraction":null,"screen_n_in":null,"score":{"opus":0.0650692011746157,"gpt":0.3497352254297332,"spread":0.2846660242551176,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004859327,0.0001152828,0.0001250571,0.00005826585,0.00122462,0.0001871203,0.0004390028,0.000149563,0.00008654261],"category_scores_gemma":[0.000230539,0.0001036379,0.00007714035,0.0001855095,0.00006894937,0.0002971338,0.00004967079,0.0001628168,0.0000167524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006120744,"about_ca_system_score_gemma":0.00005388927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000367226,"about_ca_topic_score_gemma":0.001586601,"domain_scores_codex":[0.998814,0.0001295769,0.0001286906,0.0002799202,0.0002556142,0.0003922136],"domain_scores_gemma":[0.999511,0.00007892824,0.00005815119,0.0002032474,0.00004825387,0.0001004284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003544041,0.000497858,0.001181844,0.00001808314,0.00003023323,0.000002793317,0.04553558,0.00004959912,0.001873431,0.2589212,0.08654698,0.604988],"study_design_scores_gemma":[0.0004580235,0.000303748,0.005253584,0.000009457188,0.00001319446,4.697899e-7,0.001294043,0.0001382053,0.0004184688,0.1593893,0.8324286,0.0002928963],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7689167,0.0002542449,0.07007647,0.07627989,0.001789215,0.003601564,0.00008073757,0.001668122,0.07733309],"genre_scores_gemma":[0.99054,0.00002543018,0.003304337,0.001895523,0.003582087,0.0000200067,0.00004904536,0.00001018026,0.0005734504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7458817,"threshold_uncertainty_score":0.9418909,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2131656707","doi":"10.24908/ss.v1i1.3390","title":"Surveillance Studies: understanding visibility, mobility and the phenetic fix.","year":2002,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":168,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Visibility; Politics; Dimension (graph theory); Discipline; Economic Justice; Inequality; Sociology; Public relations; Transit (satellite); Data science; Political science; Computer science; Social science; Geography; Law; Public transport","retraction":null,"screen_n_in":null,"score":{"opus":0.08610161037472018,"gpt":0.3274772068123996,"spread":0.2413755964376794,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006370252,0.0002059741,0.00039586,0.00001492556,0.001858856,0.0001815955,0.0005010544,0.0001480463,0.0001817305],"category_scores_gemma":[0.002379621,0.000155723,0.000205363,0.0004960071,0.002519198,0.000267133,0.0003788537,0.0003117413,0.00002119448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005244658,"about_ca_system_score_gemma":0.00004963529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001705706,"about_ca_topic_score_gemma":0.008239652,"domain_scores_codex":[0.9968953,0.001120498,0.0003383258,0.0005759105,0.0005372234,0.0005327589],"domain_scores_gemma":[0.9974284,0.00145322,0.0001602012,0.0006849107,0.000156586,0.0001166653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003209785,0.0005122548,0.4058177,0.0005980562,0.0006874095,0.000007471107,0.4165376,0.00003115203,0.00008177821,0.05176977,0.1138416,0.009794218],"study_design_scores_gemma":[0.01002426,0.0003071198,0.1383782,0.0001330198,0.00007161441,0.00002569216,0.3335585,0.008940577,0.00002646848,0.4027033,0.10356,0.002271292],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8675278,0.05853381,0.005971963,0.03786668,0.002789592,0.003555922,0.0002029565,0.0008313006,0.02271994],"genre_scores_gemma":[0.9792829,0.01958312,0.0001324339,0.0004055387,0.0003372372,0.00004487974,0.000004604314,0.00001300952,0.0001963417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3509335,"threshold_uncertainty_score":0.9994406,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2965288462","doi":"10.2478/popets-2019-0068","title":"Privacy Attitudes of Smart Speaker Users","year":2019,"lang":"en","type":"article","venue":"Proceedings on Privacy Enhancing Technologies","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":168,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Internet privacy; Status quo; Quarter (Canadian coin); Psychology; Smart device; Computer science; Advertising; Business; Computer security; Human–computer interaction; Political science; History","retraction":null,"screen_n_in":null,"score":{"opus":0.02590813279767907,"gpt":0.2944197363027738,"spread":0.2685116035050947,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001152481,0.0002865726,0.0004257751,0.0004570585,0.000373995,0.0001631168,0.002114959,0.0004074434,0.0000970671],"category_scores_gemma":[0.006617418,0.0002737195,0.0001240805,0.0009210068,0.0004638173,0.001012673,0.001253334,0.0005327885,0.0002357762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002465112,"about_ca_system_score_gemma":0.0001324564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003848431,"about_ca_topic_score_gemma":0.0000786404,"domain_scores_codex":[0.9974569,0.00002386762,0.0004762944,0.0006576286,0.0007246679,0.0006606154],"domain_scores_gemma":[0.998441,0.0001438391,0.0004009965,0.0006426386,0.0003025338,0.00006899065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004583527,0.0009995105,0.4397881,0.001287138,0.0002250333,0.00000611018,0.02281245,0.000003949145,0.1314416,0.3429819,0.01048449,0.0495114],"study_design_scores_gemma":[0.001095585,0.0009992851,0.01887997,0.000919289,0.00005612676,0.000006163567,0.01908231,0.00005363847,0.7474507,0.09630589,0.1140369,0.001114195],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801274,0.0001966945,0.0001477578,0.004074989,0.0004437008,0.0009192779,0.000006432102,0.002228317,0.01185541],"genre_scores_gemma":[0.9945403,0.0005618335,0.004324149,0.00007824409,0.00007839426,0.00006086202,0.000002719779,0.00003237031,0.0003211075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6160091,"threshold_uncertainty_score":0.9999715,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4247466291","doi":"10.2139/ssrn.2663153","title":"Social Media Definition and the Governance Challenge - An Introduction to the Special Issue","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":161,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Corporate governance; Social media; Political science; Public relations; Sociology; Law and economics; Business; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.03198363841191961,"gpt":0.2875537909289717,"spread":0.2555701525170521,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006445451,0.0000901697,0.0001118757,0.00002824027,0.001447332,0.0001956524,0.0004517941,0.00007889173,0.00004428726],"category_scores_gemma":[0.001511064,0.0000578476,0.00003990627,0.00019671,0.0002664908,0.0005521388,0.0000824125,0.0009994248,0.00004589572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006769077,"about_ca_system_score_gemma":0.000906772,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008473502,"about_ca_topic_score_gemma":0.0704972,"domain_scores_codex":[0.9976588,0.0006279185,0.0001600374,0.0001767463,0.0005188176,0.0008577124],"domain_scores_gemma":[0.9994223,0.00006414042,0.0001333766,0.000150783,0.000121742,0.0001076977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000216961,0.00002824886,0.000009637512,7.013372e-7,0.00001513307,3.501682e-7,0.03353437,9.353508e-7,0.000002323603,0.8892592,0.01434142,0.06259074],"study_design_scores_gemma":[0.0005627362,0.00009796126,0.0001694179,0.000001437915,0.00001661691,0.0000268866,0.02277746,0.000005216256,0.000002981599,0.5989869,0.3772815,0.00007095138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07559375,0.00429848,0.001926002,0.8983936,0.005097624,0.0007637956,0.00001518217,0.00008386378,0.01382767],"genre_scores_gemma":[0.8842003,0.007350641,0.0000342261,0.0002547992,0.1079519,0.00001597441,0.000005806389,0.0000106426,0.0001757392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8981388,"threshold_uncertainty_score":0.9998527,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2078834151","doi":"10.1109/iembs.2011.6091176","title":"Privacy versus autonomy: A tradeoff model for smart home monitoring technologies","year":2011,"lang":"en","type":"review","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":154,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Autonomy; Internet privacy; Computer science; Wireless sensor network; Health care; Home automation; Computer security; Information privacy; Emerging technologies; Telecommunications; Computer network; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.2323322705421975,"gpt":0.3937950538117677,"spread":0.1614627832695703,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007169897,0.0003780423,0.0009510217,0.0002743214,0.0006763266,0.0001731247,0.001896297,0.0008804164,0.00002124988],"category_scores_gemma":[0.0009844761,0.0003266702,0.0004539638,0.0003838949,0.0002357096,0.000536355,0.0005637369,0.000457161,0.00007316402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006472702,"about_ca_system_score_gemma":0.001461372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007946717,"about_ca_topic_score_gemma":0.0001757718,"domain_scores_codex":[0.9979992,0.00009729638,0.0004606601,0.0006060496,0.0002232831,0.0006135119],"domain_scores_gemma":[0.9985131,0.0002283601,0.0002827911,0.0008097684,0.00007083899,0.00009512403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001226347,0.00003707237,0.000001351834,0.001600929,0.00006699948,5.430408e-7,0.001392732,1.172333e-7,4.115788e-8,0.02407807,0.0005493686,0.9722605],"study_design_scores_gemma":[0.0002196402,0.00005348691,2.813359e-7,0.0008032219,0.000247532,6.629639e-7,0.0005538072,0.0001014526,0.000001932643,0.01568498,0.9819095,0.0004235661],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001720371,0.9781407,0.009423103,0.0001753562,0.00194567,0.002257639,0.00007920182,0.001437317,0.00653932],"genre_scores_gemma":[0.00008115425,0.9872994,0.009801799,0.000002723046,0.0004514819,0.001069241,0.00003618354,0.00004324567,0.00121475],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9813601,"threshold_uncertainty_score":0.9999185,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2143869283","doi":"10.1093/cybsec/tyv009","title":"Keys under doormats: mandating insecurity by requiring government access to all data and communications","year":2015,"lang":"en","type":"article","venue":"Journal of Cybersecurity","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":152,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"William and Flora Hewlett Foundation; Ford Foundation","keywords":"Law enforcement; Mandate; The Internet; Enforcement; Internet privacy; Computer security; Government (linguistics); Business; Secrecy; Law; Computer science; Political science; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.1753037543284046,"gpt":0.4102463819164525,"spread":0.2349426275880479,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00438926,0.0001248367,0.0002363631,0.00006119427,0.0004609504,0.0004859897,0.002759255,0.0001035018,0.00002559756],"category_scores_gemma":[0.002117084,0.0001215519,0.00003800068,0.0002274795,0.0002116431,0.003353144,0.003043687,0.0004671753,0.000007839732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004050133,"about_ca_system_score_gemma":0.00022388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00277857,"about_ca_topic_score_gemma":0.004728237,"domain_scores_codex":[0.9975752,0.0004705628,0.0005099335,0.0002051073,0.0009586697,0.0002804795],"domain_scores_gemma":[0.9976547,0.0001517606,0.0004862632,0.0009732157,0.0002297451,0.0005042761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004559851,0.001358784,0.02192059,0.000117274,0.0003734166,0.00003126853,0.1651058,0.0000185186,0.0007080876,0.02447967,0.7560856,0.02934508],"study_design_scores_gemma":[0.001235917,0.0001685588,0.002210305,0.0001338364,0.00009455875,0.00003501004,0.02409959,0.0004420032,0.0002062211,0.02798023,0.9430368,0.0003569803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8844731,0.004768927,0.01432307,0.07178393,0.001630541,0.001043392,0.0007574023,0.0001117821,0.02110781],"genre_scores_gemma":[0.9932157,0.001433555,0.003734467,0.001255773,0.0002989129,0.000003758531,0.00002844954,0.00001035879,0.00001897555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1869512,"threshold_uncertainty_score":0.5127428,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1993034513","doi":"10.1007/s12394-010-0062-y","title":"Privacy by design: the definitive workshop. A foreword by Ann Cavoukian, Ph.D","year":2010,"lang":"en","type":"article","venue":"Identity in the Information Society","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":141,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Privacy Analytics (Canada)","funders":"","keywords":"Computer science; Internet privacy","retraction":null,"screen_n_in":null,"score":{"opus":0.03068901997038198,"gpt":0.3183718384111474,"spread":0.2876828184407654,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004302398,0.0001228055,0.0001080384,0.00002902744,0.001759537,0.0009585686,0.001366959,0.0002216722,0.0001043589],"category_scores_gemma":[0.001866195,0.00008733456,0.0001257738,0.0007003213,0.0004197574,0.005718765,0.0002327501,0.0007380205,0.0001576211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001432545,"about_ca_system_score_gemma":0.0001301782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004791614,"about_ca_topic_score_gemma":0.003998672,"domain_scores_codex":[0.9981783,0.0003146662,0.0003428547,0.0001158959,0.000709769,0.000338493],"domain_scores_gemma":[0.9987001,0.0004344858,0.0002320301,0.0004248717,0.0001517588,0.00005676297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001237584,0.00006191356,0.000435681,0.00001252496,0.00001983958,1.933559e-7,0.2509991,0.000003780869,0.00007258402,0.01158381,0.7315711,0.005227102],"study_design_scores_gemma":[0.0006482084,0.00002443354,0.001133815,0.00001932469,0.00002796835,0.000006612291,0.108864,0.0006664243,0.0002172582,0.06872587,0.8193479,0.0003181195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5110551,0.0006864411,0.2915533,0.1526099,0.003876001,0.006854255,0.0006839065,0.0005758993,0.03210521],"genre_scores_gemma":[0.9922355,0.0006987949,0.0009209641,0.005297244,0.0002419645,0.0001945321,0.000177256,0.000007547617,0.0002261412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4811805,"threshold_uncertainty_score":0.99954,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2077266243","doi":"10.1007/s12394-010-0053-z","title":"Privacy by Design: essential for organizational accountability and strong business practices","year":2010,"lang":"en","type":"article","venue":"Identity in the Information Society","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":138,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Privacy Analytics (Canada)","funders":"","keywords":"Accountability; Privacy by Design; Knowledge management; Business; Corporate governance; Public relations; Scholarship; Information privacy; Autonomy; Process (computing); Privacy policy; Process management; Internet privacy; Political science; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.02865228341373867,"gpt":0.3473830325610173,"spread":0.3187307491472786,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003321724,0.00007113568,0.00007747984,0.00002505215,0.0009224288,0.0008724852,0.000483892,0.0001309797,0.00008421115],"category_scores_gemma":[0.003842206,0.00006284024,0.00003271459,0.0004675792,0.000217433,0.009353211,0.0001287709,0.000208858,0.00001126728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007290801,"about_ca_system_score_gemma":0.0002224354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004667919,"about_ca_topic_score_gemma":0.002631712,"domain_scores_codex":[0.9989598,0.0001130666,0.0002415027,0.00009923251,0.0004264725,0.0001599031],"domain_scores_gemma":[0.9987511,0.000310243,0.0003351219,0.000188779,0.0003838256,0.00003091904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001849331,0.0007469468,0.06401584,0.0006380995,0.0001148389,2.371716e-7,0.6037501,0.00006417274,0.003943648,0.1227415,0.1941607,0.009639106],"study_design_scores_gemma":[0.003761949,0.00007007798,0.1111249,0.00003398862,0.0001426217,0.0000222359,0.1932213,0.0069371,0.001158276,0.1000195,0.5825085,0.0009996684],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7244335,0.00003907948,0.2644158,0.00797289,0.0008137677,0.001517665,0.0001273503,0.00007177309,0.0006081703],"genre_scores_gemma":[0.9953966,0.0001182796,0.00366892,0.0003438899,0.0002583462,0.0000654074,0.0001286308,0.000003521223,0.00001640702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4105288,"threshold_uncertainty_score":0.8413395,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122431121","doi":"10.1111/1475-679x.00104","title":"Privacy in E‐Commerce: Development of Reporting Standards, Disclosure, and Assurance Services in an Unregulated Market","year":2003,"lang":"en","type":"article","venue":"Journal of Accounting Research","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":129,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Audit; Business; Accounting; Punitive damages; Parallels; Information privacy; Accounting standard; FTC Fair Information Practice; Privacy policy; Personally identifiable information; Accounting information system; Internet privacy; Privacy law; Economics; Accounting management; Computer security; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.06942100758732155,"gpt":0.4221759359965796,"spread":0.352754928409258,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04542172,0.00007914447,0.0002710983,0.000532929,0.0003294778,0.0001946714,0.0004413524,0.0001031661,0.00004392925],"category_scores_gemma":[0.01143044,0.0000719806,0.00002501011,0.0009900903,0.0001392177,0.001214437,0.0001591143,0.000601132,2.687046e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002887748,"about_ca_system_score_gemma":0.001198279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238826,"about_ca_topic_score_gemma":0.01088087,"domain_scores_codex":[0.9957274,0.0009428111,0.001259394,0.0001760184,0.001496379,0.0003980171],"domain_scores_gemma":[0.9973882,0.0003186844,0.00103647,0.0001808472,0.0009842147,0.00009161894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001224166,0.0001316183,0.9730577,0.0002092716,0.00001024208,0.00002915188,0.01605969,0.000003702912,0.001597042,0.0001482937,0.00012952,0.008501374],"study_design_scores_gemma":[0.0006946737,0.00006404689,0.9694944,0.0008808331,0.00000308636,0.00001723946,0.01385104,0.00007017655,0.001166193,0.003428307,0.01021198,0.0001180228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971638,0.0005889779,0.00002789863,0.0003991262,0.00008199098,0.0001878229,0.000002323324,0.000004950377,0.001543106],"genre_scores_gemma":[0.9972,0.0002589619,0.002436069,0.000007736266,0.0000665242,0.000002641202,8.973064e-7,0.000008014895,0.00001912905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03399128,"threshold_uncertainty_score":0.9968967,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2489600561","doi":"10.4018/978-1-61350-501-4.ch007","title":"Privacy by Design","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":123,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Privacy by Design; Computer science; Work (physics); Internet privacy; Design elements and principles; Information privacy; Knowledge management; Political science; Computer security; Engineering ethics; Engineering; Software engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.05351780835647808,"gpt":0.2878995043243545,"spread":0.2343816959678764,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005105872,0.0003487807,0.0003423081,0.00004948624,0.0005179443,0.0001556975,0.001182219,0.0007557291,0.0004161465],"category_scores_gemma":[0.0002013204,0.0003711609,0.0001658806,0.00002227983,0.0003683105,0.0001524195,0.0004081561,0.0003608081,0.0009197852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004147741,"about_ca_system_score_gemma":0.0004865904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004523022,"about_ca_topic_score_gemma":0.000588137,"domain_scores_codex":[0.9979824,0.0001137431,0.0003087638,0.0005394131,0.0005738521,0.0004818707],"domain_scores_gemma":[0.9986176,0.00004212853,0.0002469587,0.0006955467,0.0001163317,0.0002814209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003111203,0.00001112714,0.000003341427,0.000009854381,0.0000366745,0.00001169731,0.0007376511,2.000557e-8,0.000007061638,0.8891813,0.09939635,0.01057377],"study_design_scores_gemma":[0.00009924963,0.00004340355,0.000002112763,0.00003492623,0.00003104677,0.00000228616,0.00001647259,3.175112e-7,0.00003401631,0.5255364,0.4739564,0.0002433538],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000008364986,0.0008004394,0.004865869,0.0001683758,0.0008350056,0.0007821128,0.0002563749,0.0003092274,0.9919742],"genre_scores_gemma":[0.1181054,0.0005553978,0.004200457,0.001898587,0.003596297,0.0001429408,0.00007061248,0.0001907168,0.8712396],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.37456,"threshold_uncertainty_score":0.9998741,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1549681102","doi":"10.1007/978-3-540-72988-4_16","title":"Towards a Framework for Tracking Legal Compliance in Healthcare","year":2007,"lang":"en","type":"book-chapter","venue":"Notes on numerical fluid mechanics and multidisciplinary design","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":122,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Custodians; Legislation; Health care; Internet privacy; Personally identifiable information; Business; Quality (philosophy); Data Protection Act 1998; Compliance (psychology); Control (management); Computer science; Computer security; Knowledge management; Law; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.1563653930191695,"gpt":0.3870581122569832,"spread":0.2306927192378137,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001770638,0.0004894662,0.0007083804,0.0002537043,0.0009007334,0.0001468601,0.0005259469,0.001085144,0.00003865978],"category_scores_gemma":[0.00117756,0.0004923964,0.0001995078,0.0001522383,0.0001019295,0.0002238891,0.0002732149,0.001040941,0.0000228898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004012816,"about_ca_system_score_gemma":0.0003483972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009260539,"about_ca_topic_score_gemma":0.0003682913,"domain_scores_codex":[0.9969813,0.0001533596,0.0005789575,0.0009335866,0.0006095182,0.0007433186],"domain_scores_gemma":[0.9974899,0.00124551,0.000241508,0.0004638822,0.0001890632,0.0003701909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000559063,0.0001065129,0.000002774201,0.000134472,0.00002056586,0.00003811861,0.001172307,0.00002514135,0.00003986354,0.894266,0.00009579067,0.1035394],"study_design_scores_gemma":[0.0006260901,0.001185328,0.00003147344,0.00104589,0.00004238242,0.000006419235,0.0002216245,0.02071353,0.0001137895,0.9469071,0.02827924,0.0008271344],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002687594,0.001814313,0.9858361,0.005714097,0.000959484,0.002346548,0.0002072363,0.0001435509,0.002951811],"genre_scores_gemma":[0.4621677,0.01276207,0.5095828,0.002914794,0.004118767,0.0006618071,0.000398685,0.000536954,0.00685636],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4762532,"threshold_uncertainty_score":0.9997528,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391387333","doi":"10.1257/pol.20210309","title":"Regulating Privacy Online: An Economic Evaluation of the GDPR","year":2024,"lang":"en","type":"article","venue":"American Economic Journal Economic Policy","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":122,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Quest University Canada","funders":"","keywords":"Internet privacy; Right to be forgotten; Privacy policy; Information privacy; Business; Computer security; Computer science; Law and economics; Economics; Data Protection Act 1998","retraction":null,"screen_n_in":null,"score":{"opus":0.04462627651788376,"gpt":0.3801725367613212,"spread":0.3355462602434375,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00361364,0.0002071403,0.0003692591,0.0003592839,0.0006208419,0.0004325146,0.001245047,0.00008588991,0.0004830613],"category_scores_gemma":[0.0004128914,0.0001938237,0.0002595923,0.0001288217,0.000736962,0.001589243,0.0002638774,0.0003985418,0.0002300069],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005133606,"about_ca_system_score_gemma":0.006240229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0453622,"about_ca_topic_score_gemma":0.01199477,"domain_scores_codex":[0.9974116,0.0006945123,0.000825371,0.0004160441,0.0001581451,0.0004943213],"domain_scores_gemma":[0.9980859,0.0001668177,0.000799394,0.0006512349,0.00004167202,0.000254943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006381362,0.0001043345,0.00604927,0.00002867141,0.0004029381,0.000001448038,0.01920676,0.01670424,0.0002596714,0.1086144,0.008931012,0.8396334],"study_design_scores_gemma":[0.002321444,0.0005209428,0.05774523,0.0002731415,0.0005080933,0.0003553331,0.02411662,0.2565383,0.0008086442,0.2979335,0.3571782,0.001700594],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978723,0.0002526327,0.0000438893,0.0097317,0.002146021,0.0003616418,0.0001851798,0.00006470064,0.008491178],"genre_scores_gemma":[0.9933664,0.0006317943,0.0002643153,0.0002577998,0.005269079,0.00001381432,0.00001294176,0.00003743923,0.0001464427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8379328,"threshold_uncertainty_score":0.9993935,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1865046925","doi":"10.24908/ss.v7i3/4.4152","title":"From the Beginning: Children as Subjects and Agents of Surveillance","year":2010,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Government (linguistics); CONTEST; Public relations; Clothing; Tracking (education); Coercion (linguistics); Internet privacy; Sociology; Computer security; Business; Political science; Law; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.01513821668489316,"gpt":0.2849260915111295,"spread":0.2697878748262363,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001838717,0.00014327,0.0002199494,0.00001028987,0.0007039806,0.0001008844,0.0006223655,0.0001864012,0.0001802683],"category_scores_gemma":[0.001131111,0.0001162461,0.0001247946,0.0002893759,0.000754984,0.0001959868,0.0002509088,0.0003864439,0.00001835485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002882952,"about_ca_system_score_gemma":0.0001449249,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03530324,"about_ca_topic_score_gemma":0.01788644,"domain_scores_codex":[0.9983954,0.0002833979,0.0002030034,0.0003503661,0.0004312682,0.000336501],"domain_scores_gemma":[0.9986581,0.0004083547,0.0001823131,0.0005272782,0.0001198844,0.0001040199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001457312,0.00003528894,0.9566645,0.000006217838,0.00005131654,4.698308e-7,0.0188109,4.138589e-7,0.0009181182,0.0007349723,0.0200348,0.002728403],"study_design_scores_gemma":[0.0003794299,0.00002110623,0.9580909,0.000007516823,0.000004800849,0.000002317545,0.002406193,0.00002482141,0.0001992629,0.004337416,0.03433889,0.0001873265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931542,0.0006284243,0.00005509642,0.002632545,0.0006955969,0.0003300213,0.0001841123,0.00007980382,0.002240148],"genre_scores_gemma":[0.9972006,0.001259274,0.0002360186,0.0003136409,0.0008136455,0.0000107348,0.00006184846,0.00001314188,0.00009106074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01741681,"threshold_uncertainty_score":0.9981051,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2403232321","doi":"10.1145/2858036.2858214","title":"Privacy Personas","year":2016,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Categorization; Computer science; Cluster analysis; USable; Persona; Sample (material); Data science; Human–computer interaction; Usage data; Internet privacy; World Wide Web; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.03917590944960503,"gpt":0.3124074547813513,"spread":0.2732315453317463,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003355679,0.00003963387,0.00004378187,0.00002668932,0.0002877845,0.00003780981,0.0002941823,0.00004902901,0.002108586],"category_scores_gemma":[0.0007503352,0.00002479828,0.00002714847,0.00009025395,0.0001115666,0.0003824153,0.0001045728,0.00002988526,0.0007470789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000567834,"about_ca_system_score_gemma":0.0000637917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002177665,"about_ca_topic_score_gemma":0.0008843764,"domain_scores_codex":[0.9993855,0.00006726642,0.00005865987,0.0001293295,0.0001803221,0.0001789398],"domain_scores_gemma":[0.9996306,0.00005166262,0.00001921751,0.0001881855,0.00003237217,0.00007792652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002424027,0.00009535066,0.009396915,0.000006887275,0.00001498028,0.000003971781,0.01663186,9.438536e-9,0.004191535,0.5555661,0.1219457,0.2921225],"study_design_scores_gemma":[0.0001749415,0.00001688053,0.002402918,0.000006469249,0.000002203621,4.457241e-7,0.001021044,0.00000116651,0.0008026311,0.0338874,0.9616,0.00008389631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1853927,0.00016695,0.0209091,0.0814269,0.001093576,0.0004695421,0.0000154056,0.0006944551,0.7098314],"genre_scores_gemma":[0.9870818,0.0001496831,0.0005902207,0.0002419714,0.0003763904,0.000007817493,6.991657e-7,0.000003612855,0.01154777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8396543,"threshold_uncertainty_score":0.9988036,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2116629527","doi":"10.1023/a:1011454606534","title":"Involving the Virtual Subject","year":2000,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":96,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Cyberspace; Alienation; Context (archaeology); Virtual community; Internet privacy; Product (mathematics); Permission; Sociology; Dichotomy; Computer science; The Internet; World Wide Web; Epistemology; Law; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.02453397106696624,"gpt":0.2980818983909121,"spread":0.2735479273239459,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001478927,0.00004394774,0.00004908767,0.000102465,0.001312099,0.0001080814,0.0002654846,0.0003268233,0.0001846671],"category_scores_gemma":[0.001632044,0.00003396548,0.00001193608,0.0003131849,0.0004486122,0.001285412,0.00008174881,0.000681997,0.0001100138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000022169,"about_ca_system_score_gemma":0.00009113149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007299997,"about_ca_topic_score_gemma":0.0004825209,"domain_scores_codex":[0.9994261,0.00009162795,0.0001360026,0.00005350119,0.0001593395,0.0001334774],"domain_scores_gemma":[0.9995803,0.000122385,0.0000481461,0.0001597302,0.00006732567,0.00002208595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004218507,0.000003456451,0.00009946268,0.000004099169,0.000002704734,8.065965e-8,0.0213478,9.909901e-7,0.0000087126,0.7953418,0.0008914647,0.1822951],"study_design_scores_gemma":[0.0001023702,0.00004142592,0.0002913224,0.000006615473,0.00000243361,0.000002458029,0.01239189,0.0001569071,0.0001619886,0.09018581,0.8965933,0.00006350514],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5500733,0.000974105,0.003646798,0.3034616,0.00074328,0.0008537728,0.00002653422,0.001090767,0.1391298],"genre_scores_gemma":[0.9935446,0.00424503,0.0001143804,0.00186766,0.00005787081,0.00001525928,0.000007995375,0.000001749301,0.0001454845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8957018,"threshold_uncertainty_score":0.9999881,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2026227808","doi":"10.1111/j.1936-4490.2003.tb00305.x","title":"M‐Commerce in Canada: An Interaction Framework for Wireless Privacy","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":96,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"McMaster University","funders":"","keywords":"Mobile commerce; Internet privacy; Business; Wireless; E-commerce; Stress (linguistics); Computer science; Telecommunications; World Wide Web; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.1360108127911741,"gpt":0.3731812543607723,"spread":0.2371704415695982,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.005668746,0.000228738,0.0003304608,0.0005648831,0.002834393,0.0006287084,0.001406899,0.000155553,0.0001284335],"category_scores_gemma":[0.00713541,0.0002407393,0.00008793572,0.001673774,0.002782721,0.00243155,0.00001439929,0.0004215357,0.000001105491],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005180995,"about_ca_system_score_gemma":0.06944171,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9030992,"about_ca_topic_score_gemma":0.9996809,"domain_scores_codex":[0.9964979,0.0007322328,0.0007405981,0.0004933147,0.0003477333,0.001188248],"domain_scores_gemma":[0.9964569,0.0005828089,0.000633753,0.0002337702,0.0004783857,0.001614412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009896301,0.000122374,0.06495409,0.00008065147,0.00002497436,0.0002577704,0.07686676,0.0006671862,0.0002104505,0.8488627,0.0004245244,0.007429549],"study_design_scores_gemma":[0.000969916,0.00732628,0.03457395,0.0008318361,0.00007146447,0.001104938,0.4169413,0.003549098,0.002853478,0.4890524,0.04132096,0.001404487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839712,0.0001621129,0.006811573,0.002754274,0.001415,0.0004688756,0.0000690982,0.000008327252,0.004339496],"genre_scores_gemma":[0.9843526,0.00003880138,0.01499489,0.0002684149,0.0002653733,0.00002252293,0.00000618808,0.00001033168,0.00004084337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3598104,"threshold_uncertainty_score":0.9999312,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2547348045","doi":"10.1287/isre.2016.0672","title":"Assessing the Impact of Granular Privacy Controls on Content Sharing and Disclosure on Facebook","year":2016,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":96,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Openness to experience; Context (archaeology); Regression discontinuity design; Internet privacy; Set (abstract data type); Variation (astronomy); Privacy policy; Business; Computer science; Information privacy; Psychology; Social psychology; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.202120281114171,"gpt":0.450406317762191,"spread":0.24828603664802,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005773495,0.00008039105,0.000147875,0.000173428,0.0007372769,0.0007062429,0.0004446642,0.00008661833,0.0000193488],"category_scores_gemma":[0.002448566,0.00003965328,0.00005265913,0.0002008031,0.0002615527,0.002178948,0.0001599052,0.0002047471,0.0000915397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000298656,"about_ca_system_score_gemma":0.0001589158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00550357,"about_ca_topic_score_gemma":0.0000472526,"domain_scores_codex":[0.9976329,0.0006080215,0.0003450356,0.0001117015,0.0009996865,0.0003026391],"domain_scores_gemma":[0.9983981,0.0005593564,0.0001743281,0.0003677729,0.0004048939,0.00009549515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001305911,0.0003486437,0.2551046,0.0007379658,0.0003752019,0.000006363438,0.1274863,0.0002158463,0.01867647,0.4012913,0.0152498,0.1792016],"study_design_scores_gemma":[0.01252072,0.003440902,0.5874907,0.005320432,0.00003769024,0.00002414191,0.1260367,0.008158942,0.005533608,0.01428671,0.2358464,0.001303007],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724587,0.00007312113,0.001256734,0.002010063,0.0001662797,0.002419794,0.00005152676,0.00004510559,0.0215187],"genre_scores_gemma":[0.9995529,0.00005759399,0.000002096779,0.00001425802,0.0001035025,0.0001190576,0.000004073943,0.000003929294,0.0001425901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3870046,"threshold_uncertainty_score":0.8319789,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2994007112","doi":"10.1016/j.intmar.2019.10.004","title":"Thinking beyond Privacy Calculus: Investigating Reactions to Customer Surveillance","year":2020,"lang":"en","type":"article","venue":"Journal of Interactive Marketing","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":92,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Consumer privacy; Value (mathematics); Information privacy; Internet privacy; Pragmatism; Archetype; Consumer behaviour; Computer science; Business; Marketing; Epistemology","retraction":null,"screen_n_in":null,"score":{"opus":0.03371577174119206,"gpt":0.3265893701805906,"spread":0.2928735984393985,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005067245,0.0001303965,0.000256299,0.000154998,0.0006653009,0.0002864888,0.0006637186,0.00007025012,0.0001590241],"category_scores_gemma":[0.04888684,0.0001246503,0.0001272135,0.0005726464,0.00008174461,0.00117908,0.000342873,0.0007480338,0.0000384163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003055632,"about_ca_system_score_gemma":0.000213886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004693631,"about_ca_topic_score_gemma":0.0001230423,"domain_scores_codex":[0.9971382,0.00112853,0.0005853683,0.0002065692,0.0006493384,0.0002920037],"domain_scores_gemma":[0.9968516,0.001278052,0.0008074437,0.0001327795,0.0005643311,0.00036584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00299317,0.0003894657,0.1067629,0.0003705056,0.0006866707,0.0002259065,0.5851294,0.000382685,0.0919584,0.004735768,0.09954201,0.1068231],"study_design_scores_gemma":[0.001092499,0.0003525501,0.03519909,0.001256054,0.00006368644,0.00009022426,0.06675223,0.001155313,0.003976112,0.003649443,0.8856283,0.0007845095],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8493199,0.0002109643,0.01167248,0.07765412,0.002206728,0.0005156229,0.00001686579,0.0001254712,0.05827782],"genre_scores_gemma":[0.9899932,0.00005079872,0.006470312,0.001809275,0.001597693,0.000003641139,0.000001363956,0.00001621134,0.00005750189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7860863,"threshold_uncertainty_score":0.9591248,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3093364804","doi":"10.1287/isre.2020.0931","title":"An Empirical Investigation of the Antecedents and Consequences of Privacy Uncertainty in the Context of Mobile Apps","year":2020,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":92,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; Toronto Metropolitan University","funders":"","keywords":"Internet privacy; Mobile apps; Context (archaeology); Information privacy; Consumer privacy; Computer science; Business; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.145289428073951,"gpt":0.4210572750501954,"spread":0.2757678469762445,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004359336,0.00004150193,0.0001279058,0.0001019332,0.0001803604,0.00007037247,0.0006155571,0.0000704886,0.000004233762],"category_scores_gemma":[0.001884493,0.00002571271,0.00001924358,0.0007689776,0.0009615187,0.0008864158,0.0001159489,0.0001725366,0.000002346689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000391917,"about_ca_system_score_gemma":0.0003107195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01438603,"about_ca_topic_score_gemma":0.0003579918,"domain_scores_codex":[0.9969846,0.001433297,0.0004704221,0.00006793306,0.0009226594,0.0001210818],"domain_scores_gemma":[0.998768,0.0003023502,0.0002409497,0.0002108706,0.0004270581,0.00005077504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001198713,0.00004702007,0.1503398,0.0007736046,0.00001435857,2.513182e-7,0.8240128,0.0001835596,0.007060672,0.01105571,0.001260661,0.005131741],"study_design_scores_gemma":[0.0010857,0.0006381412,0.07083028,0.000412609,0.000007425786,0.000003909675,0.8789786,0.008274087,0.01249528,0.002807954,0.02431121,0.0001548415],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962654,0.00009788969,0.00006558535,0.001678267,0.00004753416,0.00107573,0.00004251784,0.000006467769,0.0007206777],"genre_scores_gemma":[0.9997686,0.0000681137,0.000008531525,0.00006469002,0.00002630506,0.00005190918,0.000009094081,0.00000118829,0.000001536373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07950954,"threshold_uncertainty_score":0.9921772,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2111205063","doi":"10.1177/2053951714564228","title":"How web tracking changes user agency in the age of Big Data: The used user","year":2014,"lang":"en","type":"article","venue":"Big Data & Society","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":92,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Big data; The Internet; Tracking (education); Agency (philosophy); Computer science; Internet privacy; Task (project management); Social media; World Wide Web; Personally identifiable information; Scale (ratio); Politics; Data science; Computer security; Engineering; Sociology; Political science; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.2408572523367829,"gpt":0.3411614021904493,"spread":0.1003041498536664,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005791523,0.0001485001,0.0001951202,0.00002513209,0.0006924776,0.0004182961,0.005221055,0.0001653546,0.0000167622],"category_scores_gemma":[0.001560683,0.00009367923,0.00006755174,0.0005725019,0.0004640986,0.001022148,0.001731336,0.0003483582,0.00000885087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003915731,"about_ca_system_score_gemma":0.0001398968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005922474,"about_ca_topic_score_gemma":0.0739698,"domain_scores_codex":[0.9975109,0.0007469342,0.0001965456,0.0005006737,0.0006579409,0.0003869861],"domain_scores_gemma":[0.9962436,0.0004069013,0.0001737298,0.003081944,0.00004965729,0.00004414919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002537168,0.0004859724,0.01493644,0.0001978219,0.0001498344,0.000008527216,0.1821862,9.138331e-7,0.00584456,0.006181467,0.5817407,0.2082422],"study_design_scores_gemma":[0.0002961374,0.00001916071,0.01107027,0.00002695837,0.00003855031,9.958696e-7,0.01360988,0.0001791076,0.00006147134,0.0007189023,0.9738257,0.0001528679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7283108,0.005936632,0.02582024,0.2032794,0.01039048,0.005928799,0.01305106,0.0005368987,0.006745731],"genre_scores_gemma":[0.9916974,0.002639981,0.000371233,0.001157558,0.002506918,0.00002505288,0.001376137,0.00001633888,0.0002093218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.392085,"threshold_uncertainty_score":0.9702106,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3029119254","doi":"10.1145/3313831.3376529","title":"Amazon vs. My Brother: How Users of Shared Smart Speakers Perceive and Cope with Privacy Risks","year":2020,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":89,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Internet privacy; Private information retrieval; Brother; Coping (psychology); Assisted living; Private life; Business; Computer security; Psychology; Computer science; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.0533372526535368,"gpt":0.2925259990608193,"spread":0.2391887464072825,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002370016,0.0001144677,0.0001850804,0.00003644268,0.000233465,0.0001365271,0.0003358623,0.00008311769,0.0004286289],"category_scores_gemma":[0.0004928002,0.00009428439,0.0000340452,0.0002635656,0.0003125772,0.0005436239,0.0001468002,0.0001313747,0.00001867015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003742746,"about_ca_system_score_gemma":0.0001072751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01196599,"about_ca_topic_score_gemma":0.00372425,"domain_scores_codex":[0.998925,0.000128868,0.0001155016,0.0002934528,0.0003180751,0.0002191586],"domain_scores_gemma":[0.999377,0.00006089998,0.00009008554,0.0002019626,0.00007662045,0.0001934825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001997375,0.0003018828,0.4760128,0.0005162724,0.0003342175,0.00002864899,0.3789649,0.000009752808,0.005266118,0.006505894,0.1067761,0.02328599],"study_design_scores_gemma":[0.004743659,0.00214714,0.321773,0.0001986159,0.0001739755,0.000005966896,0.08375801,0.0007730606,0.004175837,0.001655225,0.5793657,0.00122982],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9480894,0.000173712,0.001893621,0.03110074,0.0001257334,0.001012343,0.00007831226,0.0002077385,0.01731839],"genre_scores_gemma":[0.9967879,0.0003593742,0.001955544,0.0005307682,0.0001221282,0.00001070073,0.00001247549,0.00001270799,0.0002083793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4725895,"threshold_uncertainty_score":0.9946134,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2820695984","doi":"10.1089/cyber.2017.0709","title":"Privacy Concerns and Self-Disclosure in Private and Public Uses of Social Media","year":2018,"lang":"en","type":"article","venue":"Cyberpsychology Behavior and Social Networking","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":89,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Canada Research Chairs","keywords":"Social media; Information privacy; Internet privacy; Context (archaeology); Self-disclosure; Public disclosure; Business; Private information retrieval; Public relations; Psychology; Social psychology; Political science; Computer science; Computer security; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.06424467276386968,"gpt":0.3539024345189031,"spread":0.2896577617550334,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006999836,0.0001527122,0.0003151733,0.0001142327,0.001035781,0.00009760799,0.0002285833,0.0004005965,0.00003169922],"category_scores_gemma":[0.0001120667,0.0001657753,0.00003610046,0.0002889785,0.001716865,0.0002976882,0.0002660831,0.0002787812,0.00000113469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004288442,"about_ca_system_score_gemma":0.00005400276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004589608,"about_ca_topic_score_gemma":0.004691309,"domain_scores_codex":[0.9982718,0.0004088107,0.0002934682,0.0003795714,0.0001896823,0.0004567287],"domain_scores_gemma":[0.9994053,0.0001337127,0.0001756251,0.0001139262,0.00007405376,0.00009734233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004907612,0.0002235193,0.7297984,0.00001009454,0.00002542093,0.000008760481,0.1402446,3.555683e-9,0.0001693616,0.02179644,0.0006846479,0.1069897],"study_design_scores_gemma":[0.0009629793,0.00006790075,0.9620227,0.00001650834,0.00005306534,0.000003667322,0.004783418,0.000003068777,0.000008170093,0.003563076,0.02828091,0.0002344889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961501,0.0004725449,0.00001503162,0.00119248,0.0007389923,0.0003006803,0.00001475334,0.00007177256,0.001043586],"genre_scores_gemma":[0.9966215,0.0006565845,0.0001498927,0.0001188055,0.002389863,0.00002938014,0.00001190745,0.00001494253,0.00000709986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2322244,"threshold_uncertainty_score":0.7966493,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2619703440","doi":"10.1111/rego.12222","title":"Revisiting the governance of privacy: Contemporary policy instruments in global perspective","year":2018,"lang":"en","type":"article","venue":"Regulation & Governance","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":88,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Accountability; Corporate governance; Politics; Legitimation; Government (linguistics); Jurisdiction; Political science; Public relations; Sociology; Public administration; Business; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.02895650473826486,"gpt":0.3262071123066863,"spread":0.2972506075684214,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000692256,0.0001039634,0.0001567003,0.00001812702,0.0003222417,0.00004967856,0.0005323156,0.00008359709,0.00004503163],"category_scores_gemma":[0.002748745,0.00009312863,0.00005122039,0.0008273392,0.0004531319,0.0007315975,0.0001927785,0.0001071058,0.00001874303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001157838,"about_ca_system_score_gemma":0.0006235813,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04230756,"about_ca_topic_score_gemma":0.002392164,"domain_scores_codex":[0.998415,0.000230844,0.0003018896,0.0002636321,0.0005563375,0.0002322836],"domain_scores_gemma":[0.9986207,0.00005181849,0.000696524,0.0003780098,0.0002086256,0.0000442782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007893205,0.00002947044,0.05065972,0.00001340271,0.0000108433,6.310369e-7,0.006099563,0.000003900924,0.0001319487,0.9120417,0.0008570037,0.03007285],"study_design_scores_gemma":[0.0004757592,0.00003155427,0.8683808,0.0001678092,0.000003585694,0.000001220762,0.001166855,0.0002348249,0.0003485014,0.05436042,0.07469902,0.0001296263],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7127975,0.002049064,0.001266853,0.05267463,0.0006528792,0.001198384,0.0002415184,0.0001075537,0.2290116],"genre_scores_gemma":[0.9979243,0.0002622677,0.0002170788,0.0001584195,0.001153547,0.00001028859,0.000003254269,0.000006323706,0.0002645534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8576813,"threshold_uncertainty_score":0.9640698,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2146801273","doi":"10.2139/ssrn.1600259","title":"Privacy Regulation and Online Advertising","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":87,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Internet privacy; Online advertising; Advertising; Business; Consumer privacy; Information privacy; Computer science; The Internet; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.01214090992682943,"gpt":0.2916957508843614,"spread":0.279554840957532,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001937577,0.00007188869,0.00008019109,0.00007815276,0.0008523938,0.0001216282,0.0002519001,0.0001016092,0.00004835026],"category_scores_gemma":[0.0007042616,0.00006907531,0.00003281602,0.0001428129,0.0001095742,0.0006250871,0.00007040737,0.001486329,0.000007400833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002460518,"about_ca_system_score_gemma":0.001046023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009275963,"about_ca_topic_score_gemma":0.02454287,"domain_scores_codex":[0.9983857,0.0001043468,0.0001521213,0.0001372481,0.0002465182,0.0009740564],"domain_scores_gemma":[0.9995567,0.00003173488,0.000103516,0.0001402298,0.00007175351,0.0000960576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005800874,0.0001142456,0.007275986,0.000006134904,0.00004337447,0.000001783569,0.004323958,0.000001423115,0.01100404,0.5745625,0.000274764,0.4023337],"study_design_scores_gemma":[0.0004270664,0.00008612763,0.01430428,0.00001160117,0.00001824116,0.0001321338,0.002426058,0.0001155035,0.0001355817,0.9317642,0.05043056,0.0001486376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859614,0.0007746924,0.006125388,0.005303609,0.0004980491,0.00013002,0.000002189146,0.00005626086,0.00114838],"genre_scores_gemma":[0.9950415,0.002781497,0.0005454063,0.0000548164,0.00111563,0.00000110624,0.00000583343,0.000008382434,0.0004457962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4021851,"threshold_uncertainty_score":0.9932567,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2901775341","doi":"10.1177/0894439318810734","title":"Big Data Ethics and Politics: Toward New Understandings","year":2018,"lang":"en","type":"article","venue":"Social Science Computer Review","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":87,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Big data; Scrutiny; Politics; Social media; Public relations; Sociology; Political science; Internet privacy; Media studies; Law; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.3648777862006704,"gpt":0.4410435142896936,"spread":0.07616572808902317,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.005678735,0.0001118522,0.0002158435,0.00006523522,0.003319638,0.0004209554,0.001952558,0.0001051603,0.00004656554],"category_scores_gemma":[0.001674974,0.0001042139,0.00003421027,0.001025809,0.003311331,0.0009427675,0.001714328,0.0003292937,0.00005507075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001887568,"about_ca_system_score_gemma":0.001412991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002892174,"about_ca_topic_score_gemma":0.0005406577,"domain_scores_codex":[0.9976643,0.0003168943,0.0002138596,0.000534864,0.0007801941,0.0004898282],"domain_scores_gemma":[0.9988192,0.0001113202,0.0001154617,0.0004615846,0.0001981792,0.0002942156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001970698,0.0000259791,0.0001215748,0.0004086597,0.000009243958,0.000001860392,0.03491012,3.044063e-9,0.00001098023,0.4160424,0.07780324,0.470664],"study_design_scores_gemma":[0.00009977983,0.00004652329,0.0002615154,0.0004479858,0.00002577255,0.000002851668,0.0005550508,0.00004180449,0.00000496107,0.06488113,0.933436,0.0001965713],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001806184,0.06986275,0.3941106,0.4383002,0.0141279,0.003483373,0.0001521971,0.0008732322,0.07728364],"genre_scores_gemma":[0.5823166,0.260087,0.02615344,0.06793997,0.06253856,0.00002082885,0.00008587513,0.00006285873,0.000794784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8556328,"threshold_uncertainty_score":0.9994011,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2738571756","doi":"10.1287/isre.2017.0706","title":"Understanding Consumers’ Attitudes Toward Controversial Information Technologies: A Contextualization Approach","year":2017,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":87,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; University of Winnipeg","funders":"","keywords":"Technology acceptance model; Computer science; Context (archaeology); Contextualization; Biometrics; Identity (music); Authentication (law); Knowledge management; Internet privacy; Usability; Computer security; Human–computer interaction","retraction":null,"screen_n_in":null,"score":{"opus":0.3591362478770916,"gpt":0.4287755795614659,"spread":0.0696393316843743,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.005417023,0.0001221239,0.0002036017,0.0006312171,0.004272429,0.00381466,0.00118298,0.0003332435,0.00001837476],"category_scores_gemma":[0.00841875,0.0001198581,0.00004930864,0.000342075,0.000865282,0.01405648,0.0004347787,0.0004014182,0.0003445485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050065,"about_ca_system_score_gemma":0.0004123215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0106866,"about_ca_topic_score_gemma":0.0002399488,"domain_scores_codex":[0.9969218,0.0003817494,0.0005260116,0.0001369393,0.001522709,0.000510818],"domain_scores_gemma":[0.9976588,0.0001956939,0.0004709398,0.000656996,0.000912879,0.0001046474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001691767,0.00004712513,0.006070834,0.0005549564,0.00007656369,9.584302e-7,0.05665948,0.00005403133,0.00002010288,0.9044666,0.02184192,0.01003829],"study_design_scores_gemma":[0.002172897,0.0001060895,0.001415531,0.0001862637,0.00001176914,0.000007247111,0.4055714,0.008448128,0.0000662752,0.003625647,0.5780005,0.000388296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00373688,0.0002183596,0.5510682,0.004501227,0.001960985,0.005003495,0.000204156,0.001030695,0.432276],"genre_scores_gemma":[0.9991254,0.0002456963,0.0001115326,0.00002857892,0.0001006858,0.0001653947,0.000136204,0.000004754209,0.00008172162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9953886,"threshold_uncertainty_score":0.9999338,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1554907411","doi":"10.22230/cjc.2012v37n2a2536","title":"Interpersonal Surveillance on Social Media","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":86,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Stalking; Visibility; Social media; Interpersonal communication; Internet privacy; Public relations; Sociology; Social psychology; Advertising; Psychology; Political science; Business; Criminology; Computer science; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.06537908147705129,"gpt":0.3191626475519459,"spread":0.2537835660748946,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001689302,0.00004682866,0.00008842433,0.0001297942,0.0006484989,0.00006116748,0.0006460508,0.00007174318,0.0001792478],"category_scores_gemma":[0.001400754,0.0000482384,0.00004753602,0.0001411165,0.0001918276,0.0004367598,0.00002195099,0.0002655846,0.00002915362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003030148,"about_ca_system_score_gemma":0.0005409305,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00981187,"about_ca_topic_score_gemma":0.2098058,"domain_scores_codex":[0.9989441,0.0004604279,0.0001650822,0.00003382418,0.0001846489,0.0002118908],"domain_scores_gemma":[0.9989732,0.0001858807,0.0001733489,0.0001849237,0.0001544921,0.0003281505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001166535,0.0001598248,0.0664794,0.00001306512,0.00008453986,0.000005882026,0.3571081,0.000003122906,0.0001062924,0.2128593,0.1647298,0.198334],"study_design_scores_gemma":[0.0003303546,0.00003361891,0.1890467,0.00004863184,0.0000107582,0.00001145821,0.01061093,0.00000669979,0.00004904594,0.007062375,0.7926221,0.0001673283],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8802132,0.006462723,0.0004250493,0.04398705,0.003201277,0.0002400797,0.00006921998,0.0000319479,0.06536947],"genre_scores_gemma":[0.9986222,0.000205362,0.0001736935,0.0001979594,0.0007646999,0.000001274792,0.000009806333,0.000004732699,0.00002020599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6278922,"threshold_uncertainty_score":0.9967819,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2024428061","doi":"10.1108/14684520710832342","title":"The impact of reading a web site's privacy statement on perceived control over privacy and perceived trust","year":2007,"lang":"en","type":"article","venue":"Online Information Review","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":86,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bell (Canada); HEC Montréal; Université du Québec à Montréal","funders":"","keywords":"Statement (logic); Reading (process); Control (management); Internet privacy; Computer science; Problem statement; Perception; Psychology; Political science; Law; Artificial intelligence; Engineering; Management science","retraction":null,"screen_n_in":null,"score":{"opus":0.02310935891763041,"gpt":0.3595519007868872,"spread":0.3364425418692568,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002858812,0.000150989,0.0002830191,0.00009650461,0.0004913726,0.0001182838,0.0003277962,0.00007387994,0.0001490483],"category_scores_gemma":[0.002391952,0.00009877313,0.0001265025,0.0002769863,0.0001289063,0.001250087,0.00009290562,0.0001987232,0.00003512151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002428187,"about_ca_system_score_gemma":0.0002098476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001244999,"about_ca_topic_score_gemma":0.0002316742,"domain_scores_codex":[0.998166,0.0002028084,0.0007815044,0.0001135669,0.0004414908,0.0002946902],"domain_scores_gemma":[0.9985036,0.0002557739,0.0005260465,0.0003630109,0.0002207698,0.0001307916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00083411,0.0006572697,0.02471376,0.003558234,0.0003599595,0.000004174205,0.08252501,0.00004063678,0.001192126,0.007041252,0.04347147,0.835602],"study_design_scores_gemma":[0.001646869,0.0003235082,0.3868275,0.001707238,0.00007430761,0.000004060505,0.001773317,0.001511052,0.000007751775,0.0004008859,0.6054301,0.0002934658],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821582,0.004293263,0.0007318079,0.005001839,0.0001722792,0.002836235,0.0003363597,0.00009670237,0.004373324],"genre_scores_gemma":[0.9129605,0.08568344,0.0002035025,0.0008107143,0.0001192703,0.00001974309,0.0001554878,0.000006518186,0.00004079091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8353086,"threshold_uncertainty_score":0.4027851,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388058526","doi":"10.1093/oso/9780195372472.003.0011","title":"Reclaiming the Social Value of Privacy","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Dignity; Conceptualization; Privacy law; Data Protection Act 1998; Privacy policy; Political science; Right to privacy; Internet privacy; Human rights; Civil liberties; Legislation; Argument (complex analysis); Information privacy; Politics; Sociology; Law; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.06477711603339437,"gpt":0.3171806632302178,"spread":0.2524035471968234,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006273649,0.000159634,0.000244581,0.00006935911,0.001567357,0.00003924603,0.0008826604,0.0004080352,0.0008338436],"category_scores_gemma":[0.0003033613,0.0001219534,0.0001841847,0.00004934765,0.0006439284,0.0001567838,0.0003591435,0.0003855102,0.00008629708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108616,"about_ca_system_score_gemma":0.0003128737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003253268,"about_ca_topic_score_gemma":0.0006911523,"domain_scores_codex":[0.9985847,0.00009205194,0.0002793605,0.00024109,0.000586194,0.0002165932],"domain_scores_gemma":[0.9990855,0.0001246517,0.0002643371,0.0003649273,0.0001121398,0.00004839652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001089817,0.00001258372,0.000006670145,0.00001717402,0.00003776781,0.000002353805,0.01710134,1.034841e-7,0.000006805566,0.9013393,0.06398769,0.01747735],"study_design_scores_gemma":[0.0000761352,0.00001650448,0.00004601348,0.00002561338,0.00002766677,0.000001495765,0.0004479681,0.000003520282,0.00002573225,0.1053186,0.8938586,0.0001521485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000116758,0.0003820797,0.0003028383,0.004112518,0.0004692148,0.0004160079,0.00002747714,0.00008626872,0.9940869],"genre_scores_gemma":[0.06895698,0.007718541,0.0008068141,0.0007351466,0.00532482,0.00002473435,0.00006460469,0.00007869541,0.9162897],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8298709,"threshold_uncertainty_score":0.9997325,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2765911254","doi":"10.22215/timreview/1112","title":"A Blockchain Ecosystem for Digital Identity: Improving Service Delivery in Canada’s Public and Private Sectors","year":2017,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":84,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true},"ca_institutions":"","funders":"FedDev Ontario","keywords":"Blockchain; Authentication (law); Surety; Private sector; Business; Component (thermodynamics); Service (business); Service delivery framework; Identity (music); Public sector; Computer security; Computer science; Marketing; Political science; Finance; Economic growth; Economics; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.03428618769606787,"gpt":0.2936401392959202,"spread":0.2593539515998523,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001259863,0.0001090021,0.0002129956,0.0003958378,0.0006467245,0.0002722051,0.0008296047,0.00008325405,0.000009543447],"category_scores_gemma":[0.0009417451,0.0001167913,0.00001476835,0.001026,0.00005662439,0.0008908483,0.0006694401,0.0001218922,0.000004305939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000419258,"about_ca_system_score_gemma":0.0002301837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1548271,"about_ca_topic_score_gemma":0.8877203,"domain_scores_codex":[0.9988173,0.00003177489,0.0003857271,0.0002898775,0.000202456,0.0002728942],"domain_scores_gemma":[0.9988102,0.00001684243,0.000416126,0.0005361568,0.000196794,0.00002384585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003917448,0.00002567399,0.02396684,0.004800064,0.00004553561,0.00000870964,0.00006046152,1.92107e-7,0.00001871176,0.6563709,0.001172738,0.3135263],"study_design_scores_gemma":[0.001199589,0.00004580238,0.00902882,0.002925833,0.00008983361,0.000005601969,0.002376059,0.0004744624,0.00003992206,0.0642961,0.9188556,0.0006623382],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8833522,0.006443264,0.004482691,0.09662801,0.0005612915,0.005473422,0.00007442189,0.0003298623,0.002654841],"genre_scores_gemma":[0.9945123,0.004069861,0.0003623436,0.0006661637,0.00003638275,0.0002670278,0.00002668249,0.000008926356,0.00005033561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9176829,"threshold_uncertainty_score":0.850801,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2047663422","doi":"10.2753/jec1086-4415140404","title":"Can the Media Richness of a Privacy Disclosure Enhance Outcome? A Multifaceted View of Trust in Rich Media Environments","year":2010,"lang":"en","type":"article","venue":"International Journal of Electronic Commerce","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Desjardins; Royal Bank of Canada; HEC Montréal","funders":"","keywords":"Trustworthiness; Social media; Order (exchange); Business; Outcome (game theory); Internet privacy; Psychology; Advertising; Computer science; Microeconomics; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.01854365095520618,"gpt":0.3245272615731781,"spread":0.305983610617972,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001805927,0.0001153443,0.0002773233,0.0001730714,0.00007850962,0.00002652369,0.001810951,0.00009676348,0.0001408981],"category_scores_gemma":[0.002550515,0.00008721324,0.0001103608,0.0002661292,0.0002777165,0.0002663502,0.0002038995,0.0007969593,0.000002427586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002334829,"about_ca_system_score_gemma":0.0003285518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001420507,"about_ca_topic_score_gemma":0.01104687,"domain_scores_codex":[0.9976482,0.000285445,0.0007340506,0.0001287755,0.0009360483,0.0002674558],"domain_scores_gemma":[0.9981733,0.0005348254,0.0007819519,0.0002526354,0.0001882189,0.00006908432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001085944,0.002869246,0.5593773,0.00007411397,0.0007981911,0.00003638772,0.1412582,0.00008334967,0.06394605,0.04005723,0.0007345914,0.1896795],"study_design_scores_gemma":[0.006065714,0.0004304286,0.7800636,0.000411995,0.0001999537,0.00009490077,0.01107807,0.0004353303,0.0270573,0.04452003,0.1289062,0.0007364581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881336,0.0005107303,0.0004576311,0.009702059,0.0007869637,0.0001731957,0.00002835884,0.000004108555,0.000203347],"genre_scores_gemma":[0.9985458,0.000907162,0.0001581515,0.00008989546,0.0002468665,0.000006628975,0.000007873897,0.0000084915,0.00002915433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2206863,"threshold_uncertainty_score":0.6164411,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2293403710","doi":"10.17705/1jais.00068","title":"Theoretical Explanations for Firms' Information Privacy Behaviors","year":2005,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada; Queen's University","keywords":"Privacy policy; Information privacy; Business; Privacy by Design; Information system; Knowledge management; Competitive advantage; Management information systems; Resource-based view; Personally identifiable information; Internet privacy; Computer science; Marketing; Computer security; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.01776513265483338,"gpt":0.3001813731682821,"spread":0.2824162405134487,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004490768,0.00008886003,0.0001760967,0.0002210531,0.0008724298,0.0005195018,0.000552272,0.0001881123,0.00001434132],"category_scores_gemma":[0.006835251,0.0000683356,0.0002223012,0.0002648421,0.00004387914,0.007113609,0.00004828811,0.0001594432,0.00002997689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056837,"about_ca_system_score_gemma":0.0002734148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005774392,"about_ca_topic_score_gemma":0.00002807749,"domain_scores_codex":[0.9977207,0.0001649944,0.001013291,0.00004094306,0.0008360729,0.0002240402],"domain_scores_gemma":[0.9954884,0.0003953538,0.002216775,0.0001668158,0.001651568,0.00008110196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001082999,0.00006456742,0.001809704,0.00007587081,0.00008803266,1.566159e-8,0.03577541,0.0009568461,0.00001412731,0.8603442,0.09134116,0.009421759],"study_design_scores_gemma":[0.0009942075,0.00005639622,0.001106765,0.00003612124,0.00006194667,0.000003467409,0.005028064,0.001370456,0.00007830223,0.003239613,0.9879244,0.0001002561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1275841,0.0004689003,0.555638,0.1624868,0.04060576,0.02326849,0.003713201,0.0006156557,0.08561911],"genre_scores_gemma":[0.997363,0.00003339036,0.000946807,0.0003178499,0.0009306051,0.0001074863,0.0000712098,0.000005032477,0.0002245728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8965833,"threshold_uncertainty_score":0.8182927,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4360991875","doi":"10.1146/annurev-economics-082322-014346","title":"The Economics of Digital Privacy","year":2023,"lang":"en","type":"article","venue":"Annual Review of Economics","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Alfred P. Sloan Foundation","keywords":"Externality; Framing (construction); Business; Information privacy; Economics; Cost–benefit analysis; Public economics; Internet privacy; Industrial organization; Microeconomics; Marketing; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.03799473170807983,"gpt":0.3166288255763673,"spread":0.2786340938682875,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001290022,0.00007341212,0.0002388218,0.00003572859,0.0001935649,0.00004614415,0.0006813562,0.00004865712,0.00002307988],"category_scores_gemma":[0.001699297,0.00006216871,0.0001283084,0.0001549088,0.0002449015,0.0005752587,0.0002863114,0.00006627126,0.0001117977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004923295,"about_ca_system_score_gemma":0.0001953009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001809571,"about_ca_topic_score_gemma":0.0002048459,"domain_scores_codex":[0.9991187,0.00005438315,0.0004512235,0.0001418101,0.00004346899,0.0001904377],"domain_scores_gemma":[0.9988704,0.0002654553,0.0003194647,0.000402638,0.00008535012,0.00005669467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000327627,0.00008314796,0.001434811,0.001819115,0.0001167156,6.415892e-7,0.005989783,0.00001780599,0.000002618454,0.4848963,0.05311419,0.4524921],"study_design_scores_gemma":[0.00007415957,0.00003670938,0.0002587543,0.0002066168,0.0000123378,4.079166e-7,0.00128033,0.00003200032,0.00003030402,0.04001391,0.9579694,0.00008512976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7844868,0.05480491,0.00005271661,0.03864711,0.002738869,0.002642006,0.002191778,0.0002016083,0.1142342],"genre_scores_gemma":[0.2352305,0.7637541,0.00005058416,0.0002291708,0.00022742,0.00001905283,0.00005269869,0.00001216997,0.0004243694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9048551,"threshold_uncertainty_score":0.2535166,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4229375993","doi":"10.1108/ijbm-09-2021-0442","title":"Drivers of privacy concerns when interacting with a chatbot in a customer service encounter","year":2022,"lang":"en","type":"article","venue":"International Journal of Bank Marketing","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Chatbot; Context (archaeology); Internet privacy; Antecedent (behavioral psychology); Service (business); Originality; Structural equation modeling; Psychology; Value (mathematics); Affect (linguistics); Business; Marketing; Social psychology; Computer science; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.02258578498248456,"gpt":0.3093571664704992,"spread":0.2867713814880147,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003585126,0.00008411895,0.0001679436,0.0003457628,0.0001700977,0.0000711024,0.0009917984,0.00003011942,0.001050128],"category_scores_gemma":[0.001658884,0.0000821935,0.00006508089,0.0002476844,0.00006127171,0.0007820513,0.0004315564,0.0004482683,0.000002835739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005105252,"about_ca_system_score_gemma":0.000291922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002836951,"about_ca_topic_score_gemma":0.001170184,"domain_scores_codex":[0.9976164,0.0005582886,0.0004742254,0.0001308451,0.001047181,0.00017303],"domain_scores_gemma":[0.997907,0.0005538875,0.0008336288,0.00009621028,0.0005571408,0.00005212484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009713928,0.001061093,0.5207195,0.0001580993,0.0009358254,0.0008153128,0.3797653,0.002306287,0.006373111,0.002247793,0.008803293,0.06710043],"study_design_scores_gemma":[0.0112411,0.000719599,0.08151469,0.003587811,0.0001669926,0.0008798015,0.2956018,0.005335799,0.00126306,0.004485406,0.5939386,0.001265262],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844584,0.00007859927,0.0003864263,0.005532799,0.001364463,0.0001463258,0.00001986503,0.00001162314,0.008001508],"genre_scores_gemma":[0.9981952,0.00005033948,0.0009993996,0.0002822847,0.0003921342,0.000006365214,0.000003575775,0.000009243389,0.00006139702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5851353,"threshold_uncertainty_score":0.999863,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2266573070","doi":"","title":"Every step you fake: a comparative analysis of fitness tracker privacy and security","year":2016,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Activity tracker; Purchasing; Internet privacy; Wearable computer; BitTorrent tracker; Wearable technology; Business; Computer science; Advertising; Marketing; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.04373893380706582,"gpt":0.3341687578573157,"spread":0.2904298240502499,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006295692,0.00009504666,0.0002976226,0.0001665342,0.0002223101,0.00004263614,0.0002823393,0.00009301154,0.0005461324],"category_scores_gemma":[0.000317326,0.00006489415,0.00007980152,0.0007041206,0.0003799006,0.0005928535,0.0001614824,0.00006273888,0.00001242225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004803977,"about_ca_system_score_gemma":0.00006916824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004638919,"about_ca_topic_score_gemma":0.009524277,"domain_scores_codex":[0.998771,0.0002458384,0.0002164201,0.0002616491,0.0003046615,0.0002005047],"domain_scores_gemma":[0.9991628,0.0001921788,0.0001169559,0.0002896686,0.0001360236,0.0001023607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005949079,0.001439741,0.3705911,0.0001410972,0.003569919,0.00001032297,0.2737566,0.000004017406,0.004682953,0.2574503,0.02388855,0.06387055],"study_design_scores_gemma":[0.003417952,0.0003556914,0.6942614,0.0001195979,0.002053213,0.00000243035,0.0406296,0.001545947,0.008342874,0.07073779,0.1771497,0.001383733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823046,0.0001563527,0.004754123,0.00149623,0.00009688702,0.0002701833,0.000106961,0.0000604522,0.01075421],"genre_scores_gemma":[0.9989251,0.0001747721,0.0002846027,0.00004098696,0.00005746078,0.00001069141,0.000008422388,0.000002526117,0.0004954215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3236703,"threshold_uncertainty_score":0.7012689,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2165806131","doi":"10.1109/aiccsa.2009.5069336","title":"Privacy protection issues in social networking sites","year":2009,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Internet privacy; Information privacy; Identity theft; Privacy protection; Computer science; Computer security; Identity (music); Privacy software; Social media; Personally identifiable information; Privacy by Design; Business; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.05770150069267849,"gpt":0.3437637549536972,"spread":0.2860622542610187,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007155788,0.00007902776,0.0001072965,0.00009442866,0.0006871752,0.0001386064,0.0002539568,0.0001281363,0.0001279277],"category_scores_gemma":[0.0002612256,0.0000802702,0.00003660467,0.0004817521,0.00005774687,0.000534737,0.00006032159,0.000173901,0.00004270513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001192239,"about_ca_system_score_gemma":0.00004476395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004506535,"about_ca_topic_score_gemma":0.003542054,"domain_scores_codex":[0.9989154,0.0001879407,0.0001555589,0.0002005393,0.0002413595,0.0002991735],"domain_scores_gemma":[0.9997334,0.00001687753,0.00005331931,0.0001180399,0.00003586973,0.00004251834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001768477,0.0006224204,0.01288042,0.00003110352,0.00001885793,0.00001499529,0.08785992,0.00001199641,0.0058482,0.1379232,0.03766532,0.7169468],"study_design_scores_gemma":[0.0005797117,0.0001525362,0.05416975,0.00003446623,0.000008150595,0.000001308152,0.003439165,0.0005535714,0.0008410853,0.3037294,0.6360552,0.0004356509],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6663592,0.001164886,0.008279989,0.104949,0.001452734,0.003005958,0.000004312755,0.001491993,0.2132919],"genre_scores_gemma":[0.9962656,0.0001349181,0.0004331367,0.0002655917,0.002280717,0.00001727059,0.000004613403,0.000004291331,0.0005937977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7165111,"threshold_uncertainty_score":0.6812564,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3092011919","doi":"10.1109/re48521.2020.00025","title":"An AI-assisted Approach for Checking the Completeness of Privacy Policies Against GDPR","year":2020,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Privacy policy; General Data Protection Regulation; Information privacy; Leverage (statistics); Computer security; Privacy by Design; Privacy software; Privacy law; Completeness (order theory); Internet privacy; Artificial intelligence; Data Protection Act 1998","retraction":null,"screen_n_in":null,"score":{"opus":0.1170907234260698,"gpt":0.3522358625783613,"spread":0.2351451391522915,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005804223,0.00008624389,0.0001602002,0.00002837934,0.0006595949,0.0001155916,0.0008478749,0.00006888824,0.00001718702],"category_scores_gemma":[0.0005815259,0.00006163464,0.00007149103,0.0003334277,0.0002394953,0.0003304195,0.0001606147,0.00009564393,0.000001915193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002943583,"about_ca_system_score_gemma":0.0000998986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00337312,"about_ca_topic_score_gemma":0.0003540293,"domain_scores_codex":[0.9989455,0.0001699798,0.0002001794,0.0002022188,0.0002509159,0.0002311494],"domain_scores_gemma":[0.999311,0.00007807517,0.0001029087,0.0002898084,0.0001207948,0.00009737343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004116312,0.001151043,0.01222361,0.0007188107,0.0002146106,0.000001160334,0.3079875,0.0003106288,0.05956858,0.4931433,0.02858729,0.09568182],"study_design_scores_gemma":[0.003440633,0.000818271,0.05147778,0.00006305031,0.0001710624,0.000002632562,0.1593522,0.08800772,0.02419296,0.0279934,0.6429982,0.001482112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3334109,0.0002319082,0.5309027,0.07355648,0.0003303153,0.003790024,0.000211685,0.0006732157,0.05689276],"genre_scores_gemma":[0.9935666,0.00002392109,0.003846038,0.002049089,0.0003800676,0.00004381694,0.00005289397,0.000008927273,0.00002862822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6601558,"threshold_uncertainty_score":0.509917,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}