{"meta":{"query_hash":"b328258d4718","filters":{"venue":"Digital Society"},"cohort_total":12,"direct_labels_cover":0,"predictions_cover":12,"exported":12,"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/b328258d4718","api":"https://metacan.xera.ac/api/v1/cohort?venue=Digital+Society"},"results":[{"id":"W4285736330","doi":"10.1007/s44206-022-00007-1","title":"Leveraging Blockchain-Based Archival Solutions for Sensitive Documentation: a Xinjiang Case Study","year":2022,"lang":"en","type":"article","venue":"Digital Society","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":6,"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":"Accountability; Misappropriation; Political science; Documentation; Human rights; Public relations; Sociology; Law","score_opus":0.024112832512323608,"score_gpt":0.26282089754106264,"score_spread":0.23870806502873904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285736330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97974545,0.00015307892,0.0068531386,0.00041050365,0.000016823698,0.00014435271,0.00006430647,0.00008033749,0.012532053],"genre_scores_gemma":[0.9886984,0.000109036686,0.004830279,0.000026571603,0.0000047640347,0.000019998924,0.00004852017,0.000015462789,0.0062470343],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99805707,0.0009167148,0.000114568975,0.00014930032,0.0004498981,0.00031244458],"domain_scores_gemma":[0.99505323,0.002375463,0.0004995793,0.001087576,0.0005934034,0.00039072428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035099604,0.00026127353,0.00022299713,0.00092227553,0.003510007,0.002118518,0.0011190291,0.0013453785,0.0033301676],"category_scores_gemma":[0.004759871,0.00019798703,0.00023454559,0.0018498243,0.0016124677,0.002321397,0.0016381072,0.00072579586,0.0004235931],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018762138,0.0038045193,0.22471295,0.00090099016,0.00014210926,0.052962642,0.07897415,0.045900743,0.027862102,0.08904657,0.009695281,0.4641217],"study_design_scores_gemma":[0.00044041258,0.0043457486,0.1467559,0.00078492647,0.00041140226,0.02120182,0.15862982,0.2800814,0.1036012,0.03830955,0.2450927,0.0003451357],"about_ca_topic_score_codex":0.011700253,"about_ca_topic_score_gemma":0.020633526,"teacher_disagreement_score":0.011700253,"about_ca_system_score_codex":0.0017099907,"about_ca_system_score_gemma":0.0022617402,"threshold_uncertainty_score":0.023264289},"labels":[],"label_agreement":null},{"id":"W4386580576","doi":"10.1007/s44206-023-00063-1","title":"Lessons Learned from Assessing Trustworthy AI in Practice","year":2023,"lang":"en","type":"article","venue":"Digital Society","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cégep André Laurendeau; Université du Québec à Montréal","funders":"Horizon 2020 Framework Programme; Connecting Europe Facility; National Institutes of Health; European Commission; Foundation for the National Institutes of Health","keywords":"Trustworthiness; Computer science; Psychology; Data science; Computer security","score_opus":0.15392084118192514,"score_gpt":0.4696216618800328,"score_spread":0.3157008206981077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386580576","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14873424,0.011610129,0.50825566,0.24451256,0.0016712623,0.0030836065,0.00021402532,0.00060637726,0.081312224],"genre_scores_gemma":[0.73226,0.003723591,0.25417414,0.005857322,0.00023859591,0.0016288536,0.000100169025,0.00023447693,0.0017828924],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.5617507,0.3582151,0.018182633,0.011003666,0.04635816,0.004489687],"domain_scores_gemma":[0.3125304,0.5594904,0.013946977,0.028364068,0.079790175,0.005877931],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.33923563,0.0016348307,0.002139234,0.007818981,0.0061265863,0.024386361,0.0070561776,0.0064876145,0.004451521],"category_scores_gemma":[0.5052279,0.0014668027,0.0012333038,0.005251695,0.038108245,0.037360277,0.02004546,0.012896595,0.0010607863],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015632279,0.00063163997,0.015577918,0.0055557056,0.00021016481,0.0010248707,0.3330949,0.006874649,0.0010932558,0.2860417,0.015220289,0.3345186],"study_design_scores_gemma":[0.00012162232,0.0006833489,0.008313796,0.017597873,0.00010612853,0.0007379507,0.18434,0.014614497,0.0026369279,0.6983877,0.072163194,0.00029690203],"about_ca_topic_score_codex":0.008560763,"about_ca_topic_score_gemma":0.008884114,"teacher_disagreement_score":0.33923563,"about_ca_system_score_codex":0.016266355,"about_ca_system_score_gemma":0.027746351,"threshold_uncertainty_score":0.8148401},"labels":[],"label_agreement":null},{"id":"W4387429226","doi":"10.1007/s44206-023-00066-y","title":"Driving into the Loop: Mapping Automation Bias and Liability Issues for Advanced Driver Assistance Systems","year":2023,"lang":"en","type":"article","venue":"Digital Society","topic":"Human-Automation Interaction and Safety","field":"Psychology","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":"McGill University; University of Ottawa; University of Manitoba","funders":"Korea Agency for Infrastructure Technology Advancement","keywords":"Automation; Advanced driver assistance systems; Framing (construction); Computer science; Risk analysis (engineering); Liability; Through-the-lens metering; Computer security; Human–computer interaction; Engineering; Artificial intelligence; Business; Lens (geology)","score_opus":0.03951588112173716,"score_gpt":0.3522893504129802,"score_spread":0.31277346929124306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387429226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99342304,0.00017984654,0.0034144877,0.00032602542,0.000010257783,0.000017125783,0.00005717585,0.0000122716565,0.002559723],"genre_scores_gemma":[0.99932814,0.00003319089,0.0004131723,0.000036235804,0.000008392995,0.000004624213,0.000022736594,0.000004838145,0.00014883114],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957486,0.002287833,0.00028356197,0.0005664907,0.0008671312,0.00024641695],"domain_scores_gemma":[0.89255667,0.07473051,0.016465092,0.005133201,0.009577829,0.0015367174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0091345925,0.00019729599,0.00023621216,0.0019011165,0.0007105475,0.0016820495,0.0005752652,0.0006921336,0.0040467703],"category_scores_gemma":[0.117312744,0.00016154055,0.00032071568,0.0011045986,0.0014178791,0.0023208626,0.0014197166,0.00078023627,0.00046477845],"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":[0.00071001094,0.00029936552,0.9540981,0.000054561788,0.00007419193,0.00006289098,0.0023612753,0.000757704,0.0010450877,0.0040759626,0.00040967733,0.036051176],"study_design_scores_gemma":[0.000058976755,0.00071685,0.9566997,0.00009890019,0.00021662793,0.00041402184,0.005074986,0.015449584,0.0023999985,0.01659819,0.002235506,0.000036633195],"about_ca_topic_score_codex":0.005314249,"about_ca_topic_score_gemma":0.0050652823,"teacher_disagreement_score":0.0091345925,"about_ca_system_score_codex":0.0007950266,"about_ca_system_score_gemma":0.0009415725,"threshold_uncertainty_score":0.04830891},"labels":[],"label_agreement":null},{"id":"W4387696275","doi":"10.1007/s44206-023-00069-9","title":"Cyber Micronations and Digital Sovereignty","year":2023,"lang":"en","type":"article","venue":"Digital Society","topic":"Social Media and Politics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Technology Sydney","keywords":"Sovereignty; Cyberspace; Performative utterance; Citizenship; State (computer science); The Internet; Political science; Sociology; Internet privacy; Law; Media studies; Epistemology; Politics; World Wide Web; Computer science; Philosophy","score_opus":0.023641295130810994,"score_gpt":0.29598171934578976,"score_spread":0.2723404242149788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387696275","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12952718,0.014494831,0.0036888795,0.07257472,0.00038931434,0.00001536551,0.000055079192,0.000022734212,0.77923197],"genre_scores_gemma":[0.98919487,0.0025588262,0.00025983437,0.0012087782,0.00014822122,0.000009391064,0.000011987825,0.000004175948,0.0066039455],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99821657,0.0010751039,0.000059203307,0.00017705093,0.00025381285,0.000218189],"domain_scores_gemma":[0.9963766,0.002458296,0.0005135766,0.0002394988,0.00021675699,0.00019527273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018619346,0.000117643816,0.00017578964,0.0008232508,0.0028469097,0.0073664007,0.0003355791,0.002038266,0.00950384],"category_scores_gemma":[0.0036134252,0.00009843073,0.00015827647,0.0012252167,0.018389191,0.0060690595,0.0050472673,0.0021351958,0.00040679288],"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":[0.0000030961971,0.0000055885153,0.00044609612,0.000015817228,0.0000011129187,0.000036241167,0.002836575,0.00005764091,0.000027999393,0.9928865,0.0008539879,0.0028293736],"study_design_scores_gemma":[0.0000060549924,0.000022632425,0.0024219567,0.00036492883,0.000005375047,0.00018918893,0.016501833,0.00051626953,0.0001819112,0.83683276,0.14294617,0.00001099261],"about_ca_topic_score_codex":0.0017749742,"about_ca_topic_score_gemma":0.0025370906,"teacher_disagreement_score":0.00950384,"about_ca_system_score_codex":0.0020318485,"about_ca_system_score_gemma":0.0016495711,"threshold_uncertainty_score":0.031793535},"labels":[],"label_agreement":null},{"id":"W4389168119","doi":"10.1007/s44206-023-00078-8","title":"From Seller Screens to Buyer Screens: Toward a Smart Digital Receipt Solution for Sustainability and Greenhouse Gas Mitigation by Million Tons","year":2023,"lang":"en","type":"article","venue":"Digital Society","topic":"Green IT and Sustainability","field":"Engineering","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":"Polytechnique Montréal","funders":"","keywords":"Receipt; Purchasing; Greenhouse gas; Product (mathematics); Warranty; Business; Sustainability; Greenhouse; Environmental economics; Computer science; Marketing; Accounting","score_opus":0.010496983553724817,"score_gpt":0.22608718221314117,"score_spread":0.21559019865941637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389168119","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18611965,0.0018801161,0.40499437,0.01272072,0.0023086378,0.0007495722,0.0010773632,0.01414969,0.37599987],"genre_scores_gemma":[0.59707713,0.0012530271,0.10890931,0.0031340874,0.00027634483,0.0001802535,0.00060357706,0.0012826427,0.2872837],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99940133,0.0001104362,0.000020531319,0.00008098739,0.00030814653,0.00007862844],"domain_scores_gemma":[0.99927384,0.0001309433,0.000046338573,0.00016663322,0.00026349357,0.000118755546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007481096,0.0004944024,0.00029743055,0.00042207516,0.00066472247,0.003105121,0.0010868536,0.0011570189,0.041020323],"category_scores_gemma":[0.0014664158,0.0003411098,0.00033644948,0.00047868362,0.000529694,0.0048843278,0.0023074688,0.0013071339,0.011215689],"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":[0.0014272205,0.0013230919,0.003037982,0.00053896784,0.000061529696,0.0007707711,0.0012911533,0.0026141382,0.1286929,0.09569278,0.12285349,0.6416959],"study_design_scores_gemma":[0.0002435721,0.001250627,0.0035594187,0.0003305464,0.00019247772,0.001059593,0.0030827553,0.051759142,0.21032557,0.044154346,0.68386096,0.00018091509],"about_ca_topic_score_codex":0.0010749834,"about_ca_topic_score_gemma":0.0018809224,"teacher_disagreement_score":0.041020323,"about_ca_system_score_codex":0.0003959453,"about_ca_system_score_gemma":0.00062911405,"threshold_uncertainty_score":0.1372267},"labels":[],"label_agreement":null},{"id":"W4406219582","doi":"10.1007/s44206-024-00158-3","title":"From Code to Candidacy: Albania’s Accelerated European Union Application with ChatGPT","year":2025,"lang":"en","type":"article","venue":"Digital Society","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"European union; Public administration; Administration (probate law); Political science; Government (linguistics); Candidacy; Corporate governance; Democracy; E-governance; Public sector; Public relations; Business; Information and Communications Technology; Economic policy; Law; Politics","score_opus":0.022399525772860994,"score_gpt":0.32695132156650275,"score_spread":0.3045517957936418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406219582","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16537155,0.000835112,0.05633221,0.06397843,0.007954318,0.0010239773,0.0034105063,0.042215124,0.6588787],"genre_scores_gemma":[0.44715446,0.00031454657,0.05126471,0.009876446,0.0013597149,0.0006523404,0.0047772536,0.014290415,0.47031003],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99366003,0.001942141,0.00015233479,0.00064927625,0.0027099994,0.0008862536],"domain_scores_gemma":[0.98221564,0.0070344615,0.00034466136,0.0036054277,0.0038239395,0.0029758315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007821767,0.00034247182,0.0003617147,0.0020845672,0.003326713,0.0050683497,0.001382228,0.0034324557,0.031649835],"category_scores_gemma":[0.040923838,0.0003565409,0.00044447146,0.0013047942,0.0018537809,0.004561874,0.0070078894,0.0037516707,0.01132895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008024958,0.0005482693,0.005550454,0.00012648814,0.00003115783,0.001344489,0.007440604,0.001457871,0.005932585,0.05087742,0.5539102,0.37197798],"study_design_scores_gemma":[0.00019024406,0.00020006565,0.011612791,0.00014888572,0.000018271206,0.00047721693,0.0025800674,0.009288814,0.0060061235,0.012742921,0.95663476,0.000099952005],"about_ca_topic_score_codex":0.026536038,"about_ca_topic_score_gemma":0.035015736,"teacher_disagreement_score":0.031649835,"about_ca_system_score_codex":0.0031603589,"about_ca_system_score_gemma":0.0042717173,"threshold_uncertainty_score":0.10587925},"labels":[],"label_agreement":null},{"id":"W4407778604","doi":"10.1007/s44206-025-00164-z","title":"Talking to Dog: A Critical Discourse Analysis of Research and Public Reporting on Digital Technology for Human-Animal Communication","year":2025,"lang":"en","type":"article","venue":"Digital Society","topic":"Focus Groups and Qualitative Methods","field":"Social Sciences","cited_by":0,"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 Guelph","funders":"Social Sciences and Humanities Research Council","keywords":"Critical discourse analysis; Human animal; Psychology; Sociology; Political science; Biology; Law","score_opus":0.2295233828356308,"score_gpt":0.5997446563522946,"score_spread":0.3702212735166638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407778604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84833944,0.004241917,0.03500544,0.059049305,0.001183712,0.0030411563,0.0011464448,0.00020492538,0.047787502],"genre_scores_gemma":[0.9756266,0.001404206,0.012313953,0.0035752421,0.00019107558,0.0020024949,0.00023333367,0.000260378,0.0043926477],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.84134704,0.1382532,0.003951694,0.004067716,0.007916298,0.004464058],"domain_scores_gemma":[0.46924528,0.4935769,0.011968204,0.006429385,0.015239346,0.0035408607],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.13448481,0.0016736239,0.0017483258,0.016065318,0.03454517,0.022459863,0.0062806336,0.0078535965,0.004741508],"category_scores_gemma":[0.23407997,0.0014290138,0.0009212444,0.013364213,0.044771492,0.022750322,0.022423774,0.009594089,0.0005514165],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002519793,0.000015346268,0.00033778875,0.00019574404,0.0000044940502,0.00012904104,0.99072343,0.000014990728,0.0002260742,0.005380765,0.00046854967,0.0024785283],"study_design_scores_gemma":[0.00000812563,0.000015360016,0.00041073738,0.0005622808,0.0000130501685,0.00006856083,0.9839909,0.00009203669,0.0005236497,0.0026170588,0.011684623,0.000013594704],"about_ca_topic_score_codex":0.014381991,"about_ca_topic_score_gemma":0.01500991,"teacher_disagreement_score":0.9654548,"about_ca_system_score_codex":0.028230626,"about_ca_system_score_gemma":0.031655822,"threshold_uncertainty_score":0.7112322},"labels":[],"label_agreement":null},{"id":"W4407973606","doi":"10.1007/s44206-025-00168-9","title":"Digital Information Platforms and Support for Immigrant Professionals’ Employment and Settlement: An Integrative Review","year":2025,"lang":"en","type":"article","venue":"Digital Society","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":5,"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":"Immigration, Refugees and Citizenship Canada","keywords":"Settlement (finance); Immigration; Sociology; Business; Geography; Archaeology; Finance","score_opus":0.010310605960493697,"score_gpt":0.31754276530798625,"score_spread":0.30723215934749254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407973606","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011709762,0.9969079,0.000039153296,0.00093746465,0.00012261157,0.0000069822495,0.000017652941,0.0000013253235,0.0007958269],"genre_scores_gemma":[0.01052385,0.98863006,0.00010512535,0.0004123027,0.00019238632,0.000012336635,0.0000148237705,9.67871e-7,0.000108076834],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9993031,0.00028417283,0.00010791211,0.000106247695,0.00013012986,0.000068460635],"domain_scores_gemma":[0.98879915,0.009696929,0.0007427735,0.00009550729,0.00046429253,0.00020142317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002633125,0.0005903195,0.0011468792,0.004469689,0.000709853,0.004296684,0.0009415572,0.002375339,0.0047830036],"category_scores_gemma":[0.00951106,0.00034779013,0.00095882284,0.005889491,0.0016008157,0.00376543,0.0018806322,0.001510087,0.00032889296],"study_design_candidate":"systematic_review","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":[0.00023168979,0.0002149481,0.0055622286,0.11661064,0.0009801008,0.00024023418,0.0046491735,0.00022280328,0.00021202494,0.014323024,0.011617604,0.8451355],"study_design_scores_gemma":[0.00010808177,0.00033070653,0.030563809,0.4095446,0.0054607424,0.0012128532,0.016024893,0.00041724488,0.0003005695,0.011437102,0.52447987,0.00011953754],"about_ca_topic_score_codex":0.0053495294,"about_ca_topic_score_gemma":0.011742348,"teacher_disagreement_score":0.0053495294,"about_ca_system_score_codex":0.0011499028,"about_ca_system_score_gemma":0.004997763,"threshold_uncertainty_score":0.016000748},"labels":[],"label_agreement":null},{"id":"W4408361096","doi":"10.1007/s44206-025-00174-x","title":"AI Ethics’ Institutional Turn","year":2025,"lang":"en","type":"article","venue":"Digital Society","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council","keywords":"Turn (biochemistry); Political science; Epistemology; Philosophy; Biology; Biochemistry","score_opus":0.042973225158291876,"score_gpt":0.4092434015886909,"score_spread":0.366270176430399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408361096","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014482538,0.00547381,0.035151463,0.2342427,0.0020621784,0.000062544386,0.00008327294,0.00015982726,0.7082817],"genre_scores_gemma":[0.87510395,0.003690843,0.011260537,0.048023447,0.0028568807,0.0002346276,0.00013434474,0.00021010815,0.058485247],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9806284,0.010414212,0.0008179204,0.0025891375,0.0038047442,0.0017455406],"domain_scores_gemma":[0.97856027,0.01262816,0.001286431,0.0027218554,0.0028973585,0.0019059182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017836463,0.00052849174,0.00046583542,0.0021658198,0.0074870093,0.01724516,0.0017237541,0.0077292672,0.009705213],"category_scores_gemma":[0.02257353,0.00044977613,0.0006157206,0.0012272806,0.05019838,0.010233233,0.00843997,0.011040861,0.0015512686],"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":[0.0000019156694,0.000005424348,0.00007937446,0.000007104663,0.0000019328847,0.000015757963,0.0011272955,0.000087412394,0.000031601146,0.99417675,0.002090439,0.0023749552],"study_design_scores_gemma":[0.0000079991205,0.000010949737,0.00042142757,0.00013397583,0.0000053120125,0.00005901673,0.002006737,0.0004162591,0.00021276994,0.6946461,0.30206293,0.0000164988],"about_ca_topic_score_codex":0.005536454,"about_ca_topic_score_gemma":0.0035263966,"teacher_disagreement_score":0.017836463,"about_ca_system_score_codex":0.012572867,"about_ca_system_score_gemma":0.009636659,"threshold_uncertainty_score":0.09432936},"labels":[],"label_agreement":null},{"id":"W4409737078","doi":"10.1007/s44206-025-00176-9","title":"Perceptions of AI Ethics Policies Among Scientists and Engineers in Policy-Related Roles: An Exploratory Investigation","year":2025,"lang":"en","type":"article","venue":"Digital Society","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute for Critical Technology and Applied Science; Canadian Institute for Theoretical Astrophysics; National Science Foundation","keywords":"Engineering ethics; Exploratory research; Perception; Political science; Psychology; Management science; Sociology; Engineering; Social science","score_opus":0.026001149050549562,"score_gpt":0.3597502651852248,"score_spread":0.3337491161346752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409737078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98966634,0.00023649338,0.0010538283,0.0035373063,0.000036324407,0.000049445403,0.00002094271,0.000005022676,0.005394257],"genre_scores_gemma":[0.99764436,0.00031889527,0.00035471623,0.00090790936,0.00001760762,0.000055027034,0.000011160066,0.0000053321855,0.00068506814],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9736955,0.017526735,0.0010513072,0.0011665688,0.0038147192,0.0027451296],"domain_scores_gemma":[0.910011,0.06364347,0.009627895,0.0015891081,0.007857643,0.007270879],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.035894167,0.00037033204,0.0005690579,0.0038175213,0.009755322,0.011172461,0.001117396,0.0032825228,0.0028093287],"category_scores_gemma":[0.0547233,0.0006073994,0.0003378414,0.0018719649,0.01390816,0.005825583,0.008339891,0.0048509655,0.00040788794],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061403334,0.00014041484,0.035393782,0.00010649881,0.0000101402065,0.00046061026,0.94931287,0.00012196206,0.000998295,0.006959114,0.0008718859,0.0055629737],"study_design_scores_gemma":[0.000004991886,0.00004648658,0.0063775843,0.00008814026,0.000003498794,0.00010573826,0.98442715,0.00021738873,0.00018567343,0.0009406166,0.007586277,0.000016444304],"about_ca_topic_score_codex":0.006003328,"about_ca_topic_score_gemma":0.0060021845,"teacher_disagreement_score":0.9902447,"about_ca_system_score_codex":0.0064079305,"about_ca_system_score_gemma":0.008146453,"threshold_uncertainty_score":0.18982881},"labels":[],"label_agreement":null},{"id":"W4411026057","doi":"10.1007/s44206-025-00202-w","title":"The Acceptability of AI-Driven Resource Signposting to Young People Using a Mental Health Peer Support App","year":2025,"lang":"en","type":"article","venue":"Digital Society","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada)","funders":"National Institute for Health Research Applied Research Collaboration West; Innovate UK; National Institute for Health and Care Research; University Hospitals Bristol NHS Foundation Trust","keywords":"Mental health; Thematic analysis; Context (archaeology); Think aloud protocol; Psychology; Peer support; Applied psychology; World Wide Web; Computer science; Qualitative research; Psychotherapist; Psychiatry; Human–computer interaction; Sociology","score_opus":0.026223800721679475,"score_gpt":0.3963577610938624,"score_spread":0.37013396037218294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411026057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940661,0.00014586246,0.0012117364,0.00047963398,0.000053691336,0.00030566083,0.00006417278,0.00004029914,0.0036328095],"genre_scores_gemma":[0.99540776,0.0001949406,0.0024587084,0.00031061296,0.000024500783,0.0004180382,0.00004262397,0.000020159427,0.0011228085],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.989374,0.006884274,0.00074740953,0.0004922055,0.001832207,0.0006698822],"domain_scores_gemma":[0.9653997,0.025314145,0.0027142647,0.0012070319,0.0037444083,0.0016204346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012598898,0.0004034402,0.00045470305,0.00076250645,0.0021482909,0.0040869107,0.00088141416,0.0014248148,0.0033687714],"category_scores_gemma":[0.06997367,0.00045995283,0.0008350795,0.00032179314,0.001583621,0.002371146,0.0036447519,0.0016561672,0.00043624872],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006546105,0.0007025588,0.08440601,0.0015574682,0.00009804078,0.0018927995,0.8255249,0.00012983786,0.0054133506,0.00056658295,0.0014444505,0.07760938],"study_design_scores_gemma":[0.000098514756,0.0025264204,0.098823056,0.0010047347,0.00018244449,0.0013612051,0.8723815,0.001019066,0.0026280414,0.00066852884,0.01912959,0.00017691088],"about_ca_topic_score_codex":0.004167643,"about_ca_topic_score_gemma":0.004542628,"teacher_disagreement_score":0.012598898,"about_ca_system_score_codex":0.0009605922,"about_ca_system_score_gemma":0.0014525828,"threshold_uncertainty_score":0.066630185},"labels":[],"label_agreement":null},{"id":"W4412982347","doi":"10.1007/s44206-025-00221-7","title":"Design versus reality: assessing the results and compliance of algorithmic impact assessments","year":2025,"lang":"en","type":"article","venue":"Digital Society","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Compliance (psychology); Computer science; Psychology; Social psychology","score_opus":0.21340097954165924,"score_gpt":0.5131807406596597,"score_spread":0.2997797611180004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412982347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7111638,0.0007670283,0.24473508,0.0034765352,0.0005728326,0.0028968104,0.00039689627,0.0008134484,0.03517763],"genre_scores_gemma":[0.923001,0.000112023816,0.074055076,0.0005338538,0.00008286976,0.0012323189,0.00014158167,0.00011130308,0.00073006947],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.5521516,0.35102868,0.024684044,0.015012854,0.05444426,0.0026785438],"domain_scores_gemma":[0.118632674,0.7519032,0.046590075,0.05204859,0.029717129,0.0011082937],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.25722894,0.0012336023,0.0010736893,0.003659584,0.0019892543,0.0069727376,0.0027993931,0.00571724,0.003627082],"category_scores_gemma":[0.78008515,0.00084616203,0.001441995,0.0021674258,0.0060026227,0.008000523,0.0054408177,0.0026485112,0.00082442595],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016550269,0.0040838914,0.28002778,0.004241811,0.0037804488,0.0004290046,0.023792667,0.09421066,0.011090543,0.12524882,0.005220956,0.43132314],"study_design_scores_gemma":[0.003969955,0.023411011,0.20589522,0.0036197647,0.002807836,0.0013388366,0.011241509,0.3835556,0.05379204,0.2716445,0.0377096,0.0010140671],"about_ca_topic_score_codex":0.0008762025,"about_ca_topic_score_gemma":0.0008799788,"teacher_disagreement_score":0.99801075,"about_ca_system_score_codex":0.00347062,"about_ca_system_score_gemma":0.0047186315,"threshold_uncertainty_score":0.91596895},"labels":[],"label_agreement":null}]}