{"meta":{"query_hash":"53a2fcbdd5d4","filters":{"venue":"Ethics and Information Technology"},"cohort_total":20,"direct_labels_cover":0,"predictions_cover":20,"exported":20,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/53a2fcbdd5d4","api":"https://metacan.xera.ac/api/v1/cohort?venue=Ethics+and+Information+Technology"},"results":[{"id":"W1005350190","doi":"10.1007/s10676-015-9373-x","title":"From the bench to the bedside in the big data age: ethics and practices of consent and privacy for clinical genomics and personalized medicine","year":2015,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Genome British Columbia","keywords":"Big data; Internet privacy; Informed consent; Personalized medicine; Information privacy; Genomics; Data Protection Act 1998; European union; Engineering ethics; Data science; Medicine; Business; Computer science; Bioinformatics; Alternative medicine; Computer security; Engineering; Biology; Pathology; Genome","score_opus":0.8439497929530778,"score_gpt":0.6536967428991053,"score_spread":0.19025305005397253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1005350190","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25676268,0.0020873642,0.0010284621,0.73896664,0.00010586874,0.00079996424,0.000053549127,0.00001076626,0.00018468457],"genre_scores_gemma":[0.86584616,0.07280658,0.0066166134,0.054175764,0.00031724633,0.000056950757,0.00012849776,0.00001127678,0.000040901617],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978023,0.00052307296,0.00075805606,0.0002193546,0.0005397663,0.0001574469],"domain_scores_gemma":[0.8971559,0.10050068,0.0005370133,0.00095999957,0.0007112971,0.00013511992],"candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.042036787,0.0000977784,0.00029514843,0.0001059787,0.00024424907,0.000055965178,0.0004737196,0.0008968629,0.0000020765824],"category_scores_gemma":[0.39990926,0.00004728271,0.000013413189,0.00021120993,0.0029827526,0.0001988765,0.0008418939,0.0055658324,8.8507704e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014372824,0.00012869643,0.03772934,0.0010171083,0.00024810442,0.00000799319,0.28225857,0.0000010740896,0.00010863015,0.53661495,0.02178116,0.1186671],"study_design_scores_gemma":[0.0043922327,0.00143461,0.01373204,0.00034949087,0.00015297827,0.000073356816,0.096528,0.0016189116,0.000034093275,0.21179304,0.66976607,0.00012519192],"about_ca_topic_score_codex":0.0005177971,"about_ca_topic_score_gemma":0.0012483452,"teacher_disagreement_score":0.6847909,"about_ca_system_score_codex":0.00001297627,"about_ca_system_score_gemma":0.00090192567,"threshold_uncertainty_score":0.9997306},"labels":[],"label_agreement":null},{"id":"W1964102704","doi":"10.1007/s10676-012-9290-1","title":"Out of character: on the creation of virtuous machines","year":2012,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Virtue; Virtue ethics; Sociology; Normative ethics; Epistemology; Moral character; Environmental ethics; Character (mathematics); Engineering ethics; Computer science; Philosophy; Engineering","score_opus":0.06576551165612995,"score_gpt":0.33652635974594525,"score_spread":0.27076084808981526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964102704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92321235,0.000020177344,0.0049144253,0.05771129,0.0006656673,0.0003883139,0.00005126446,0.00011753685,0.012918961],"genre_scores_gemma":[0.99570173,0.00016862723,0.000097510594,0.003938544,0.000018793711,0.000014166361,0.0000056769745,0.00000302641,0.000051916064],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99918234,0.000061258426,0.00035856396,0.000057159763,0.00023016045,0.0001105249],"domain_scores_gemma":[0.99873024,0.0005954304,0.00034256015,0.00019523936,0.00011959025,0.000016910708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071017875,0.0000631942,0.00009369207,0.00028118555,0.00014522951,0.000009727006,0.00016108774,0.00019906378,0.000042726027],"category_scores_gemma":[0.00473841,0.000043979908,0.000015037924,0.0003229697,0.00069481967,0.00048682577,0.000072235,0.00067179394,0.000033304685],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056739336,0.00003161976,0.0001672931,0.00003061005,0.000001979665,2.284413e-8,0.0016535581,3.8294957e-7,0.06844957,0.9215456,0.0000929948,0.008020674],"study_design_scores_gemma":[0.00020660584,0.00021853004,0.0017086877,0.000040521852,0.000005975332,0.0000034530492,0.00031028077,0.0003067675,0.92276585,0.02650259,0.047844194,0.00008652459],"about_ca_topic_score_codex":0.0000024159292,"about_ca_topic_score_gemma":6.6782434e-7,"teacher_disagreement_score":0.895043,"about_ca_system_score_codex":0.000007982586,"about_ca_system_score_gemma":0.000022661054,"threshold_uncertainty_score":0.56726617},"labels":[],"label_agreement":null},{"id":"W1977124846","doi":"10.1007/s10676-006-0014-2","title":"RFID: The Next Serious Threat to Privacy","year":2005,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Technostress in Professional Settings","field":"Psychology","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Guard (computer science); Computer security; Radio-frequency identification; Internet privacy; Computer science; Identification (biology); Legislation; Access control; Personally identifiable information; Legislature; Simple (philosophy); Confidentiality; Telecommunications; Law","score_opus":0.0333085603481069,"score_gpt":0.3587770793164303,"score_spread":0.3254685189683234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977124846","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45594653,0.00059531775,0.002602071,0.5130936,0.0006536551,0.000661995,0.000016767948,0.00084433594,0.02558577],"genre_scores_gemma":[0.97776383,0.0001126599,0.0031561193,0.018142262,0.000062830564,0.00009934848,0.000009170401,0.000009701926,0.0006440998],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99908257,0.000039721315,0.0003219225,0.00012954872,0.00017388794,0.0002523426],"domain_scores_gemma":[0.99903643,0.00020302951,0.00013164201,0.0004722625,0.00011447128,0.000042162577],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005910142,0.000118048694,0.00011273011,0.0002789719,0.0004035991,0.00005162814,0.0004507403,0.0006524544,0.00025949345],"category_scores_gemma":[0.00059943757,0.000083550985,0.000020794227,0.00040899677,0.00021728875,0.00060168916,0.00034933462,0.0014549461,0.00096546626],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012090239,0.000010884884,0.00034529262,0.000006939231,0.000010157321,4.3476524e-7,0.008940258,0.0000024052022,0.00005118652,0.6019392,0.009552412,0.37912872],"study_design_scores_gemma":[0.00027294777,0.00009158393,0.0038953368,0.000024595754,0.00000567461,0.000051561074,0.005369201,0.000042775064,0.0011301502,0.018316802,0.97066593,0.00013343977],"about_ca_topic_score_codex":0.00002612544,"about_ca_topic_score_gemma":0.000012805404,"teacher_disagreement_score":0.9611135,"about_ca_system_score_codex":0.00003069559,"about_ca_system_score_gemma":0.00004077051,"threshold_uncertainty_score":0.9998124},"labels":[],"label_agreement":null},{"id":"W2042417563","doi":"10.1007/s10676-009-9214-x","title":"Designing a machine to learn about the ethics of robotics: the N-reasons platform","year":2010,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Genome British Columbia; Genome Canada","keywords":"Robotics; Artificial intelligence; Engineering ethics; Computer science; Sociology; Engineering; Robot","score_opus":0.05152713217276359,"score_gpt":0.36729836978105934,"score_spread":0.31577123760829573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042417563","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023863371,0.000113033304,0.011512531,0.93109876,0.00048798905,0.00048184444,0.000012648643,0.00013489285,0.032294914],"genre_scores_gemma":[0.98734474,0.0008512359,0.0033291392,0.008266911,0.00006287437,0.000012099165,0.0000027170877,0.0000053523177,0.00012492698],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99883884,0.00013420917,0.000279626,0.000069216694,0.0004326456,0.0002454557],"domain_scores_gemma":[0.9969044,0.0019320028,0.00019598693,0.00023282568,0.0006667477,0.00006809332],"candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008414701,0.00008404008,0.00012281064,0.00013550401,0.0024812145,0.00019243722,0.00048696913,0.0010529374,0.000021260821],"category_scores_gemma":[0.01883789,0.00005228335,0.00003617708,0.00047122274,0.0015280836,0.0006890884,0.00014293817,0.005060005,0.000016711629],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030429019,0.00000422392,0.00014559334,0.000009463016,0.000008146622,6.289226e-8,0.10155005,0.000027387221,0.00010598793,0.88837624,0.00016584438,0.009603955],"study_design_scores_gemma":[0.00024057546,0.00015936275,0.00095136417,0.000058686866,0.000026160278,0.0000046775363,0.08464191,0.00043563585,0.0009390957,0.3699367,0.5423816,0.00022426396],"about_ca_topic_score_codex":0.0016079572,"about_ca_topic_score_gemma":0.0063094655,"teacher_disagreement_score":0.96348137,"about_ca_system_score_codex":0.00001647192,"about_ca_system_score_gemma":0.0004838347,"threshold_uncertainty_score":0.99881744},"labels":[],"label_agreement":null},{"id":"W2065876607","doi":"10.1007/s10676-011-9272-8","title":"Searching for health: the topography of the first page","year":2011,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institutes of Health","keywords":"Mainstream; The Internet; Variety (cybernetics); Internet privacy; Seekers; Public relations; Subject (documents); Consolidation (business); Public health; Health information; Health care; World Wide Web; Sociology; Political science; Medicine; Computer science; Business; Law; Nursing","score_opus":0.11401240739644461,"score_gpt":0.4515070717342866,"score_spread":0.33749466433784203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065876607","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29991907,0.0005426428,0.080038756,0.55498695,0.0021716827,0.009359112,0.00026756403,0.0005101281,0.05220409],"genre_scores_gemma":[0.9510844,0.0002966738,0.003335119,0.044967685,0.000025134415,0.0002422783,0.00001087636,0.000004339621,0.000033507473],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983175,0.00018817358,0.0010483216,0.000058104855,0.00013723454,0.00025066047],"domain_scores_gemma":[0.9979552,0.0006102845,0.0007231634,0.00033329558,0.0003420064,0.000036038407],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004968912,0.00006744908,0.00013145787,0.00016909851,0.0023598429,0.0000085282745,0.00030088774,0.00031087853,0.00004515948],"category_scores_gemma":[0.001147195,0.000035710164,0.00004192066,0.00040339906,0.00027684664,0.0009382414,0.00016314101,0.0015002599,0.000009802045],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029146473,0.000011163055,0.0205769,0.0013069459,0.0000072609896,3.8225756e-9,0.085616544,5.816814e-7,8.510496e-7,0.8536912,0.002030013,0.03672934],"study_design_scores_gemma":[0.00040234107,0.00009871049,0.038703933,0.0001567961,0.0000029249804,8.307689e-7,0.010742989,0.0009542893,0.000082206505,0.03792912,0.9108646,0.00006128973],"about_ca_topic_score_codex":0.00015232511,"about_ca_topic_score_gemma":0.00009255056,"teacher_disagreement_score":0.9088346,"about_ca_system_score_codex":0.000024362733,"about_ca_system_score_gemma":0.00030294547,"threshold_uncertainty_score":0.998939},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.02453397106696624,"score_gpt":0.29808189839091215,"score_spread":0.2735479273239459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116629527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55007327,0.000974105,0.0036467984,0.30346164,0.00074328,0.0008537728,0.000026534219,0.0010907672,0.13912985],"genre_scores_gemma":[0.9935446,0.0042450298,0.00011438036,0.0018676597,0.000057870806,0.000015259284,0.000007995375,0.0000017493007,0.00014548455],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942607,0.000091627946,0.00013600262,0.000053501186,0.00015933953,0.00013347741],"domain_scores_gemma":[0.9995803,0.00012238498,0.000048146103,0.00015973017,0.00006732567,0.00002208595],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014789274,0.00004394774,0.000049087666,0.00010246498,0.0013120988,0.0001080814,0.0002654846,0.00032682333,0.00018466711],"category_scores_gemma":[0.0016320437,0.000033965476,0.000011936084,0.00031318492,0.00044861223,0.0012854118,0.00008174881,0.00068199704,0.00011001385],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004218507,0.0000034564512,0.00009946268,0.0000040991695,0.000002704734,8.065965e-8,0.0213478,9.909901e-7,0.0000087126,0.79534185,0.0008914647,0.18229514],"study_design_scores_gemma":[0.00010237016,0.00004142592,0.00029132236,0.000006615473,0.0000024336105,0.0000024580293,0.012391892,0.00015690706,0.00016198859,0.090185806,0.8965933,0.00006350514],"about_ca_topic_score_codex":0.0007299997,"about_ca_topic_score_gemma":0.00048252087,"teacher_disagreement_score":0.8957018,"about_ca_system_score_codex":0.000022169002,"about_ca_system_score_gemma":0.00009113149,"threshold_uncertainty_score":0.9999881},"labels":[],"label_agreement":null},{"id":"W2125426751","doi":"10.1007/s10676-007-9135-5","title":"Seizing control?: The experience capture experiments of Ringley & Mann","year":2007,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Humanity; Individualism; Control (management); Identity (music); The Imaginary; Sociology; Personal identity; Internet privacy; Social control; Personally identifiable information; Epistemology; Psychology; Computer science; Law; Social psychology; Aesthetics; Psychoanalysis; Self; Social science; Computer security; Artificial intelligence; Political science; Philosophy","score_opus":0.03794334443193596,"score_gpt":0.34577302577843216,"score_spread":0.3078296813464962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125426751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7098164,0.0014269758,0.20644435,0.04214069,0.0010325119,0.0010176775,0.00002526998,0.00043281194,0.03766333],"genre_scores_gemma":[0.9982136,0.00029759083,0.00065909966,0.0007557457,0.000029042827,0.000012743649,0.000004268755,0.0000016890226,0.000026239413],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992755,0.00005040019,0.00022795354,0.000063966,0.00021916603,0.0001630353],"domain_scores_gemma":[0.9993447,0.00012726976,0.00015671371,0.00019619262,0.0001472184,0.000027915148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001884388,0.000053987187,0.00007693323,0.00013721069,0.000680211,0.000040216648,0.0002890117,0.00034235846,0.000016348142],"category_scores_gemma":[0.0018708974,0.00004249526,0.000015196861,0.0002604545,0.00056096603,0.0008455931,0.00011618726,0.000502691,0.0000089559435],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026649912,0.00001729249,0.0015373989,0.000025772033,0.000010863963,2.6819654e-7,0.2735584,0.0000018686858,0.00096432096,0.70467174,0.00032231797,0.01886309],"study_design_scores_gemma":[0.0005323304,0.000050007646,0.0013342273,0.00003150437,0.00000682403,0.0000060630077,0.14428689,0.0000689043,0.009689597,0.033037588,0.810795,0.00016107655],"about_ca_topic_score_codex":0.0009570467,"about_ca_topic_score_gemma":0.000461856,"teacher_disagreement_score":0.81047267,"about_ca_system_score_codex":0.000027344151,"about_ca_system_score_gemma":0.000049257607,"threshold_uncertainty_score":0.5231702},"labels":[],"label_agreement":null},{"id":"W2288501165","doi":"10.1007/s10676-016-9388-y","title":"Building theory from consumer reactions to RFID: discovering Connective Proximity","year":2016,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Personalization; Construct (python library); Marketing; Implementation; Computer science; Physical security; Business; Internet privacy; Computer security","score_opus":0.026862669956334104,"score_gpt":0.31901613995961625,"score_spread":0.2921534700032821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288501165","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31687978,0.00010750513,0.5947355,0.077917464,0.000669204,0.00069494423,0.00016829968,0.0005651233,0.0082621835],"genre_scores_gemma":[0.99616474,0.0005162846,0.0026910913,0.00049340085,0.00004812738,0.000046496636,0.000004812314,0.0000030384892,0.000032004926],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99927616,0.00011833367,0.00018299904,0.00011401445,0.00014584443,0.00016265642],"domain_scores_gemma":[0.99902076,0.00048977305,0.00010263992,0.00018953288,0.0001420427,0.00005523474],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0012945011,0.00006581751,0.00008553187,0.00021257227,0.0009015004,0.000075087584,0.000190104,0.00034147422,0.000050948805],"category_scores_gemma":[0.008734213,0.00005179132,0.000014830715,0.00024950833,0.00034361664,0.002431957,0.00021102684,0.00039311848,0.000057189784],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014498876,0.0000054348116,0.00026175688,0.0000054083257,0.000009193179,9.359113e-8,0.008530449,2.3703326e-7,0.00081398035,0.93692344,0.00010354854,0.053331926],"study_design_scores_gemma":[0.00019573484,0.00003179394,0.0006207176,0.00004691401,0.000005716217,0.0000010223093,0.007178946,0.000010043026,0.004857059,0.5472714,0.43967026,0.00011041176],"about_ca_topic_score_codex":0.0016038372,"about_ca_topic_score_gemma":0.00059926836,"teacher_disagreement_score":0.679285,"about_ca_system_score_codex":0.00008540854,"about_ca_system_score_gemma":0.000088337496,"threshold_uncertainty_score":0.99961567},"labels":[],"label_agreement":null},{"id":"W3009745509","doi":"10.1007/s10676-020-09526-2","title":"Cybervetting job applicants on social media: the new normal?","year":2020,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Economic and Social Research Council; Canada Excellence Research Chairs, Government of Canada","keywords":"Social media; Conceptualization; Public relations; Grounded theory; Stakeholder; Sociology; Context (archaeology); Internet privacy; Psychology; Qualitative research; Political science; Social science; Computer science; World Wide Web","score_opus":0.051104998958235406,"score_gpt":0.31757294832639377,"score_spread":0.2664679493681584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009745509","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023761302,0.000101032,0.006923654,0.94418806,0.00030417345,0.00040469176,0.000021696535,0.00045610178,0.023839273],"genre_scores_gemma":[0.98960865,0.00053550425,0.00025654817,0.009117764,0.0004382128,0.000016674916,0.000012526971,0.0000033232154,0.000010800017],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992535,0.00007333931,0.00017905672,0.00007890728,0.00024994102,0.00016523561],"domain_scores_gemma":[0.99945813,0.0002008484,0.000114723065,0.00009880224,0.000070281676,0.000057200916],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009247986,0.00006171602,0.00007938915,0.000074003416,0.001352008,0.000097262746,0.00034587245,0.00040925655,0.000032863933],"category_scores_gemma":[0.004211279,0.00004941216,0.000018706376,0.00040014827,0.0003033198,0.000715783,0.00019586581,0.001033732,0.00008334986],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000976898,0.000002886659,0.00006279592,0.000011526876,0.0000046178147,1.5453435e-7,0.06540986,5.3415556e-7,0.000015286496,0.76414937,0.01116045,0.15917274],"study_design_scores_gemma":[0.0002670716,0.00004032869,0.00059918145,0.000006782408,0.0000053705758,9.410281e-7,0.020395262,0.000111143396,0.00035943318,0.063058,0.9150507,0.000105804174],"about_ca_topic_score_codex":0.00029755215,"about_ca_topic_score_gemma":0.00032974387,"teacher_disagreement_score":0.9658473,"about_ca_system_score_codex":0.000022432054,"about_ca_system_score_gemma":0.00014874894,"threshold_uncertainty_score":0.9999481},"labels":[],"label_agreement":null},{"id":"W3015578022","doi":"10.1007/s10676-020-09572-w","title":"Give more data, awareness and control to individual citizens, and they will help COVID-19 containment","year":2021,"lang":"en","type":"preprint","venue":"Ethics and Information Technology","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Università di Pisa; European Commission","keywords":"Contact tracing; Location data; Computer science; Tracing; Internet privacy; Computer security; Order (exchange); Coronavirus disease 2019 (COVID-19); Data collection; Control (management); Business; Infectious disease (medical specialty); Artificial intelligence","score_opus":0.052127999965971374,"score_gpt":0.3382480121984986,"score_spread":0.2861200122325272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015578022","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07359208,0.0008833598,0.80449194,0.11859007,0.0003158594,0.0009738408,0.0006311941,0.00041874728,0.00010292647],"genre_scores_gemma":[0.9687168,0.0006511945,0.004662145,0.025554016,0.00002100934,0.00007889236,0.00030133568,0.000008932786,0.0000057017487],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99796635,0.00009781996,0.0005599283,0.00062769285,0.0004374988,0.00031073162],"domain_scores_gemma":[0.9972573,0.0007522022,0.0003185863,0.0011424286,0.0002803076,0.00024919581],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0014985029,0.0003117279,0.00046187267,0.00061209925,0.00039592356,0.0012566827,0.00117399,0.00093083223,0.0000029340706],"category_scores_gemma":[0.002709983,0.00031410388,0.000026098925,0.00022425553,0.00021668167,0.0024773574,0.007328144,0.0017016289,0.0000026673406],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101081976,0.00008517664,0.016854223,0.004156466,0.00057469774,0.000111812216,0.10308399,0.0011445993,0.00014426305,0.67882484,0.0008768989,0.19404195],"study_design_scores_gemma":[0.016172454,0.002083928,0.042095654,0.003352492,0.000517587,0.001274422,0.056223348,0.19943464,0.0017782288,0.2951114,0.37478822,0.0071676224],"about_ca_topic_score_codex":0.00040231514,"about_ca_topic_score_gemma":0.00020772188,"teacher_disagreement_score":0.8951247,"about_ca_system_score_codex":0.00012905351,"about_ca_system_score_gemma":0.0011447419,"threshold_uncertainty_score":0.9999311},"labels":[],"label_agreement":null},{"id":"W3127763486","doi":"10.1007/s10676-020-09567-7","title":"The CLAIRE COVID-19 initiative: approach, experiences and recommendations","year":2021,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Agence Nationale de la Recherche","keywords":"Repurposing; Coronavirus disease 2019 (COVID-19); Pace; Leverage (statistics); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Context (archaeology); Data science; Citizen science; Robotics; Computer science; Artificial intelligence; Engineering ethics; Knowledge management; Engineering; Medicine; Infectious disease (medical specialty); Robot","score_opus":0.06826673236113259,"score_gpt":0.3800813403468433,"score_spread":0.3118146079857107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127763486","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017249366,0.000788903,0.008010959,0.9718381,0.00011741898,0.00020693724,0.0000072455264,0.00016649783,0.0016145792],"genre_scores_gemma":[0.7965565,0.0100558195,0.005332207,0.18757248,0.00003215727,0.00025046876,0.00010860339,0.0000073491187,0.00008442024],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993769,0.000058614507,0.00022716241,0.00010405088,0.00011943083,0.000113822956],"domain_scores_gemma":[0.99871296,0.0007506007,0.00009534424,0.00018329633,0.00018673125,0.00007106761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005721181,0.00007045044,0.00010791755,0.0001484703,0.00078718987,0.000077598655,0.000057960657,0.00026523363,0.000028072433],"category_scores_gemma":[0.005704245,0.00005288417,0.000015067015,0.00036469588,0.0004950608,0.00037371143,0.0001127268,0.00065116305,0.0000044213934],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036892383,0.000086679145,0.002165847,0.00042720258,0.00007431383,0.000006821971,0.116059646,0.000008563381,0.000060120463,0.68845797,0.04289756,0.1497184],"study_design_scores_gemma":[0.000453647,0.00006702082,0.00034902364,0.000028331004,0.000012894688,0.0001104263,0.07806326,0.00081962656,0.0005265056,0.005960554,0.913538,0.000070730945],"about_ca_topic_score_codex":0.000013629683,"about_ca_topic_score_gemma":0.000015121994,"teacher_disagreement_score":0.8706404,"about_ca_system_score_codex":0.00004862111,"about_ca_system_score_gemma":0.0005081185,"threshold_uncertainty_score":0.6828926},"labels":[],"label_agreement":null},{"id":"W3154266813","doi":"10.1007/s10676-021-09593-z","title":"Artificial Intelligence Regulation: a framework for governance","year":2021,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":332,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Corporate governance; Negotiation; Conceptual framework; Sustainability; Management science; Legislation; Agile software development; Stakeholder; Sociology; Identification (biology); Process (computing); Engineering ethics; Political science; Knowledge management; Computer science; Public relations; Engineering; Law; Economics; Social science; Management","score_opus":0.0712053629869205,"score_gpt":0.396960411518195,"score_spread":0.3257550485312745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154266813","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026464174,0.00029439808,0.4103179,0.56585324,0.00056443294,0.00024217262,0.00002086181,0.00016795003,0.019892659],"genre_scores_gemma":[0.9503197,0.0028838885,0.041016754,0.005342674,0.00019567902,0.000024936173,0.000012978118,0.0000048659645,0.00019849112],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99924314,0.000050617982,0.00023275227,0.000082269245,0.00021557158,0.00017567775],"domain_scores_gemma":[0.9982391,0.000661422,0.0001314318,0.000113263464,0.0008093376,0.00004542538],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0013395745,0.000054218137,0.00009263012,0.000051364634,0.0010515053,0.0001953065,0.00011521327,0.0007981464,0.00006770099],"category_scores_gemma":[0.015882952,0.000059702295,0.000028452292,0.00039581812,0.0004512546,0.0010088023,0.000045228855,0.0007352186,0.000014507772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030110448,0.0000050140143,0.000014488449,0.00001305364,0.0000037374627,1.4538061e-7,0.011726125,0.0000030532788,0.00000726286,0.91336644,0.00012106802,0.07473661],"study_design_scores_gemma":[0.00001461614,0.000020445968,0.0000620221,0.000022222788,0.000002713537,6.1479255e-7,0.008469489,0.00011901778,0.0009525115,0.79209006,0.19818404,0.00006222747],"about_ca_topic_score_codex":0.000053589018,"about_ca_topic_score_gemma":0.00026793728,"teacher_disagreement_score":0.9476733,"about_ca_system_score_codex":0.000037849397,"about_ca_system_score_gemma":0.0004334359,"threshold_uncertainty_score":0.99240667},"labels":[],"label_agreement":null},{"id":"W3176040021","doi":"10.1007/s10676-021-09599-7","title":"From human resources to human rights: Impact assessments for hiring algorithms","year":2021,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":122,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Accountability; Human rights; Audit; Algorithm; Law and economics; Public relations; Political science; Economics; Computer science; Law; Accounting","score_opus":0.0621558161986932,"score_gpt":0.4625187048818698,"score_spread":0.4003628886831766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176040021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8793523,0.000085041385,0.0051042857,0.079849094,0.00034979504,0.00046828022,0.00012418818,0.00030929202,0.034357768],"genre_scores_gemma":[0.9926799,0.000060584676,0.0048064026,0.0018057708,0.00021470814,0.000026831005,0.000078774276,0.0000068590657,0.00032016478],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99889964,0.00008749145,0.000296361,0.0001334299,0.00030004766,0.00028301746],"domain_scores_gemma":[0.99861765,0.00028953198,0.00013784716,0.00016130118,0.000672162,0.000121497884],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014921016,0.00009850684,0.00017097847,0.00020507742,0.0029235634,0.0004368782,0.00021456057,0.00072296034,0.000066408036],"category_scores_gemma":[0.0012126466,0.00009520343,0.00005260781,0.0003277003,0.0002729547,0.0011679282,0.000113871945,0.00076895114,0.00000990616],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042580195,0.000023730881,0.00034631832,0.000017316019,0.000051232364,0.0000011455136,0.06411126,0.0000040456102,0.000608876,0.9229448,0.0018859019,0.010001142],"study_design_scores_gemma":[0.00033417201,0.00016447387,0.0011587824,0.000046128498,0.000012544055,4.499012e-7,0.017354721,0.00003464761,0.0010174417,0.501738,0.47795612,0.00018252099],"about_ca_topic_score_codex":0.005435912,"about_ca_topic_score_gemma":0.003076974,"teacher_disagreement_score":0.47607023,"about_ca_system_score_codex":0.000100948084,"about_ca_system_score_gemma":0.00016930551,"threshold_uncertainty_score":0.9983745},"labels":[],"label_agreement":null},{"id":"W3180298117","doi":"10.1007/s10676-021-09605-y","title":"Ethical dilemmas are really important to potential adopters of autonomous vehicles","year":2021,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Harm; Early adopter; Dilemma; Assertion; Premise; Psychological intervention; Empirical research; Ethical dilemma; Risk perception; Perception; Public relations; Business; Sociology; Marketing; Political science; Psychology; Law; Computer science","score_opus":0.021738153907749073,"score_gpt":0.32766108047487136,"score_spread":0.3059229265671223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180298117","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3261369,0.00015501436,0.0020148258,0.65425754,0.00039748772,0.00022697658,0.000038937007,0.00019120851,0.016581126],"genre_scores_gemma":[0.98785764,0.0013223194,0.002289816,0.008398632,0.000043570904,0.0000054800657,0.000009331681,0.0000043921805,0.00006883189],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870324,0.00013531519,0.00042594626,0.00010611868,0.00039404692,0.00023530806],"domain_scores_gemma":[0.9982766,0.00020425254,0.00023831874,0.00015347506,0.0010066129,0.00012072561],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0022794744,0.000080526785,0.00018765389,0.0001863814,0.00059713237,0.00011671185,0.00017813484,0.0014466076,0.000032612294],"category_scores_gemma":[0.006553837,0.00008345028,0.00004437633,0.00043134595,0.00060101773,0.00052029546,0.00013498974,0.0017052423,0.000009077002],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008034987,0.000013791032,0.0006008371,0.000033637512,0.000015233116,0.000005508695,0.023878045,0.000009342178,0.00028540945,0.9639081,0.00043279317,0.010809291],"study_design_scores_gemma":[0.00068619574,0.00032729306,0.008674496,0.00019540318,0.000041451323,0.00001587933,0.10180747,0.00019437801,0.005430222,0.3271333,0.55497015,0.0005237903],"about_ca_topic_score_codex":0.0005230709,"about_ca_topic_score_gemma":0.0008633462,"teacher_disagreement_score":0.66172075,"about_ca_system_score_codex":0.000042089763,"about_ca_system_score_gemma":0.0007613557,"threshold_uncertainty_score":0.99984974},"labels":[],"label_agreement":null},{"id":"W4386890818","doi":"10.1007/s10676-023-09720-y","title":"Melting contestation: insurance fairness and machine learning","year":2023,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Typology; Context (archaeology); Social insurance; Perception; Positive economics; Big data; Actuarial science; Economics; Social psychology; Sociology; Psychology; Political science; Computer science; Law; History; Data mining","score_opus":0.03273019741945431,"score_gpt":0.3131924827714198,"score_spread":0.2804622853519655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386890818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9332342,0.00045414158,0.0040592207,0.03228137,0.00038659555,0.00047274292,0.000017019858,0.0013158121,0.027778901],"genre_scores_gemma":[0.9949557,0.004202008,0.0002802004,0.00038301,0.000017627539,0.00002327735,0.000018441267,0.0000036945341,0.00011600655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991564,0.00009903876,0.00022720986,0.000095117175,0.00023086194,0.00019134617],"domain_scores_gemma":[0.99939144,0.00019064498,0.00014252715,0.00007944906,0.00016529263,0.000030658386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020905754,0.00007035829,0.00010215953,0.00040538606,0.0010755035,0.00010835217,0.00010414088,0.00022665925,0.000008278749],"category_scores_gemma":[0.0011897989,0.00007272149,0.000014028595,0.0008361043,0.0004556349,0.00089771673,0.00008825716,0.00061138935,0.000026349304],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031125537,0.000003144666,0.12755698,0.00006709082,0.000010499877,0.0000011005943,0.01958279,0.00003455153,0.0000062978224,0.7554675,0.00007380615,0.09719319],"study_design_scores_gemma":[0.0008308264,0.00009782579,0.23230515,0.00008194167,0.00001166766,0.000004315429,0.064596236,0.0058867577,0.000110355795,0.06941563,0.62626886,0.00039041613],"about_ca_topic_score_codex":0.00040029574,"about_ca_topic_score_gemma":0.00039725305,"teacher_disagreement_score":0.68605185,"about_ca_system_score_codex":0.000014101661,"about_ca_system_score_gemma":0.000032368516,"threshold_uncertainty_score":0.8272013},"labels":[],"label_agreement":null},{"id":"W4388002357","doi":"10.1007/s10676-023-09728-4","title":"Generative AI models should include detection mechanisms as a condition for public release","year":2023,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Victoria University of Wellington; Natural Sciences and Engineering Research Council of Canada; European Commission; Open Philanthropy Project; Horizon 2020 Framework Programme; Canadian Institute for Advanced Research","keywords":"Generative grammar; Computer science; Conversation; Foundation (evidence); Mechanism (biology); Legislation; Generative model; Artificial intelligence; Risk analysis (engineering); Data science; Sociology; Law; Epistemology; Political science","score_opus":0.11339097399592545,"score_gpt":0.4056049251793387,"score_spread":0.29221395118341326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388002357","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02844307,0.000036609155,0.3584964,0.5958685,0.00056479085,0.0009740055,0.000066777975,0.0010947641,0.014455013],"genre_scores_gemma":[0.98919916,0.001036671,0.00076263584,0.00857327,0.000061016985,0.000127514,0.00006977302,0.0000072375365,0.00016272791],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989423,0.000103203485,0.00024060516,0.000110018584,0.0003203309,0.0002835483],"domain_scores_gemma":[0.99847424,0.0003023531,0.00014241406,0.00009847759,0.0008923487,0.00009013719],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0026378445,0.00008811798,0.00012027023,0.00048804225,0.0022117938,0.00029249382,0.00013752823,0.0010963018,0.0000149116395],"category_scores_gemma":[0.005028694,0.0000914168,0.00003818174,0.0006883396,0.00036268358,0.0032196832,0.00007083908,0.00090090703,0.000037315556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057267202,0.000004992462,9.886511e-7,0.000015094824,0.000009460078,1.8181618e-7,0.016098555,0.000040327956,0.00023380376,0.96986306,0.00045341736,0.013274415],"study_design_scores_gemma":[0.00022410405,0.00013402861,0.000004823799,0.000008445385,0.000006095852,8.1705826e-7,0.013501418,0.010378676,0.0020413008,0.9055747,0.068017334,0.000108297325],"about_ca_topic_score_codex":0.00031341962,"about_ca_topic_score_gemma":0.00094309275,"teacher_disagreement_score":0.96075606,"about_ca_system_score_codex":0.00008402814,"about_ca_system_score_gemma":0.00039708926,"threshold_uncertainty_score":0.9990872},"labels":[],"label_agreement":null},{"id":"W4401486239","doi":"10.1007/s10676-024-09784-4","title":"Should YouTube make recommendations for the climate?","year":2024,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Transparency (behavior); Moderation; Computer science; Slippery slope; Internet privacy; Freedom of expression; Intervention (counseling); Law and economics; Public relations; Sociology; Computer security; Political science; Psychology; Social psychology; Law; Human rights","score_opus":0.11013777781137458,"score_gpt":0.4153481674722585,"score_spread":0.30521038966088393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401486239","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008260089,0.0005176795,0.04107871,0.8798213,0.001267705,0.0006441836,0.00010019511,0.00066623377,0.07507798],"genre_scores_gemma":[0.94889873,0.021649716,0.003755334,0.023653205,0.00023694056,0.00009622812,0.0001379807,0.00001342836,0.0015584427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936146,0.000027089805,0.00022863106,0.000048253507,0.00015028562,0.0001842921],"domain_scores_gemma":[0.9991187,0.0005419177,0.00005274766,0.00010395044,0.00014707036,0.000035610352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002087352,0.000055431752,0.00005649853,0.00022711803,0.001273179,0.00035607608,0.00014070547,0.00030852476,0.0001321177],"category_scores_gemma":[0.0014052638,0.000038905302,0.00002675651,0.0003857987,0.00023267788,0.0012930776,0.0000403209,0.0004966719,0.00007904449],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013707246,0.0000011943748,0.0000030610297,0.000023622819,0.000005215941,2.2818268e-8,0.03223116,0.0000014224049,7.203558e-7,0.77555525,0.010755467,0.18142147],"study_design_scores_gemma":[0.00007160257,0.000020041412,0.000022695609,0.000020485906,0.0000071380064,0.0000026083876,0.04317036,0.0022074603,0.000025152574,0.015158232,0.9392408,0.000053409374],"about_ca_topic_score_codex":0.000043425363,"about_ca_topic_score_gemma":0.00011230013,"teacher_disagreement_score":0.94807273,"about_ca_system_score_codex":0.000030396792,"about_ca_system_score_gemma":0.00016019041,"threshold_uncertainty_score":0.9792392},"labels":[],"label_agreement":null},{"id":"W4401925611","doi":"10.1007/s10676-024-09796-0","title":"A portrait of the artist as a young algorithm","year":2024,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Portrait; Computer science; Art history; Algorithm; Art; Computer graphics (images)","score_opus":0.014575330282091192,"score_gpt":0.2443722892922944,"score_spread":0.22979695901020322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401925611","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047567695,0.0062884744,0.0054692985,0.19470187,0.0036273368,0.0010528784,0.00045363244,0.0028132836,0.73802555],"genre_scores_gemma":[0.9953685,0.0004583912,0.00024497358,0.0010894443,0.00006205398,0.000023405351,0.000015376794,0.0000060359685,0.0027318567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994774,0.000010957809,0.00022509145,0.000067050125,0.00011267103,0.0001068359],"domain_scores_gemma":[0.9996277,0.000025420124,0.000071670205,0.00015015852,0.00011298797,0.000012041573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022140324,0.00007534813,0.00009049995,0.00015957622,0.0003160392,0.00008378607,0.0001476219,0.00029775087,0.00018454493],"category_scores_gemma":[0.00011975639,0.000047887184,0.00003782939,0.00008480154,0.00078011234,0.000486804,0.000083833336,0.0008069838,0.000049527625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.067502e-7,0.000003888931,0.000009588715,0.000043154156,0.000016190277,5.841202e-7,0.022827368,1.4224662e-7,0.000015652417,0.92870426,0.0035414118,0.044837035],"study_design_scores_gemma":[0.00005972378,0.00006534254,0.000027096845,0.000047999485,0.000013266597,0.000044563978,0.0137289185,0.00032095282,0.00054759305,0.12409207,0.8609878,0.00006471466],"about_ca_topic_score_codex":0.00007174832,"about_ca_topic_score_gemma":0.00024203789,"teacher_disagreement_score":0.94780076,"about_ca_system_score_codex":0.00000921219,"about_ca_system_score_gemma":0.000063186024,"threshold_uncertainty_score":0.35059878},"labels":[],"label_agreement":null},{"id":"W4402710169","doi":"10.1007/s10676-024-09795-1","title":"AI content detection in the emerging information ecosystem: new obligations for media and tech companies","year":2024,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Ecosystem; Business; Content (measure theory); Internet privacy; Computer science; Data science; Ecology; Mathematics; Biology","score_opus":0.060724960251488706,"score_gpt":0.34362410212906275,"score_spread":0.28289914187757403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402710169","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18703884,0.0009660016,0.25429884,0.53754,0.0018122726,0.0031435797,0.000114632574,0.0010809381,0.014004898],"genre_scores_gemma":[0.99630237,0.00076340674,0.00029757802,0.0025121167,0.000042169544,0.000027421063,0.000032649106,0.0000022621039,0.000020057363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909455,0.000051244606,0.00040466338,0.000050891023,0.00023282238,0.00016581874],"domain_scores_gemma":[0.9992103,0.00038084202,0.00010355835,0.00008222476,0.00017859011,0.000044495537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020495928,0.00007726835,0.00009447791,0.00068858225,0.0006161704,0.0005291056,0.00011490649,0.00030230297,0.000010831296],"category_scores_gemma":[0.0017647148,0.00005987511,0.000019577179,0.00064084237,0.00012559097,0.004975453,0.000025640002,0.00049946806,0.00001926353],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039493098,0.0000017451504,0.0000142096915,0.000093421004,0.0000047893077,4.7397773e-8,0.17627907,0.000009679994,0.000008291099,0.6846234,0.0010104005,0.13795097],"study_design_scores_gemma":[0.00037660947,0.00005917067,0.0005112102,0.000105525854,0.000011115398,0.000015382519,0.18545796,0.012907762,0.00019718218,0.045369882,0.75485843,0.00012977023],"about_ca_topic_score_codex":0.0002569089,"about_ca_topic_score_gemma":0.0017399383,"teacher_disagreement_score":0.8092635,"about_ca_system_score_codex":0.00005332319,"about_ca_system_score_gemma":0.0002038512,"threshold_uncertainty_score":0.5102177},"labels":[],"label_agreement":null},{"id":"W4403650534","doi":"10.1007/s10676-024-09808-z","title":"Correction: AI content detection in the emerging information ecosystem: new obligations for media and tech companies","year":2024,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Content (measure theory); Ecosystem; Computer science; Data science; Information retrieval; World Wide Web; Internet privacy; Business; Ecology; Mathematics; Biology","score_opus":0.04298933103889412,"score_gpt":0.27012119726854716,"score_spread":0.22713186622965303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403650534","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048978357,0.00023614656,0.9526255,0.039564837,0.0010449651,0.00036792268,0.000020117965,0.00026474588,0.0009778988],"genre_scores_gemma":[0.9970302,0.00017648975,0.0012924473,0.0013491773,0.000024946008,0.00007375803,0.000042816602,0.0000016732819,0.000008514818],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993893,0.00001515962,0.00031904888,0.00008127286,0.00008996396,0.00010527135],"domain_scores_gemma":[0.9993649,0.0002952604,0.00007269072,0.00014398899,0.00010021483,0.000022947888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005960202,0.00007303403,0.00008224903,0.000524726,0.00020914979,0.000707011,0.00018538858,0.00018621823,9.5321616e-7],"category_scores_gemma":[0.00034486243,0.00005737114,0.000015190601,0.00049828284,0.000046311838,0.0074779023,0.00008200995,0.00042154896,0.000013431569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017795662,0.0000019686518,0.000019445515,0.000070592934,0.0000043029963,1.06860554e-7,0.0055881892,0.000017543445,0.0000051398692,0.6157775,0.0011802617,0.3773332],"study_design_scores_gemma":[0.00038020883,0.0001209901,0.0005678831,0.00012687192,0.00000694077,0.00016193166,0.005791022,0.37750447,0.00075761025,0.091281675,0.5231314,0.00016905303],"about_ca_topic_score_codex":0.00003795845,"about_ca_topic_score_gemma":0.00021358815,"teacher_disagreement_score":0.99213237,"about_ca_system_score_codex":0.00002626962,"about_ca_system_score_gemma":0.00008649606,"threshold_uncertainty_score":0.6817723},"labels":[],"label_agreement":null}]}