{"meta":{"query_hash":"d282e0d03069","filters":{"venue":"Digital"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"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/d282e0d03069","api":"https://metacan.xera.ac/api/v1/cohort?venue=Digital"},"results":[{"id":"W3215899368","doi":"10.3390/digital1040015","title":"Improving Readability of Online Privacy Policies through DOOP: A Domain Ontology for Online Privacy","year":2021,"lang":"en","type":"article","venue":"Digital","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Readability; Jargon; Privacy policy; Computer science; Internet privacy; Ontology; Domain (mathematical analysis); Privacy software; Key (lock); Information privacy; World Wide Web; Action (physics); Reading (process); Computer security; Political science; Law","score_opus":0.04368870550553924,"score_gpt":0.3446450082676642,"score_spread":0.300956302762125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215899368","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03503537,0.00023105809,0.94339705,0.0019281302,0.00014177847,0.0010658809,0.002245529,0.007577487,0.008377773],"genre_scores_gemma":[0.12982845,0.00042642237,0.85891765,0.00047279673,0.000041182942,0.00053165393,0.0038141946,0.0009328322,0.0050348444],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958014,0.001181039,0.0006391183,0.00083073264,0.0013335489,0.0002140823],"domain_scores_gemma":[0.9827073,0.008612207,0.0015862336,0.0039333,0.002620771,0.00054025213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050348523,0.0009085905,0.00063858315,0.0027434677,0.001321201,0.0034389633,0.0015377927,0.0011809011,0.0037365525],"category_scores_gemma":[0.017681934,0.0006357112,0.0011724745,0.0016925491,0.0020782007,0.010022778,0.004085467,0.003204044,0.0011340005],"study_design_candidate":"simulation_or_modeling","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":[0.0004501114,0.0011228735,0.012229592,0.0024778214,0.000105082625,0.0015434301,0.019731093,0.00893593,0.08505734,0.17090733,0.028832486,0.6686069],"study_design_scores_gemma":[0.00012520017,0.00040412028,0.011101901,0.0009185612,0.00023437364,0.0030691547,0.010615665,0.15624663,0.12690717,0.123788305,0.56618726,0.00040162873],"about_ca_topic_score_codex":0.006512893,"about_ca_topic_score_gemma":0.0072317603,"teacher_disagreement_score":0.006512893,"about_ca_system_score_codex":0.001852563,"about_ca_system_score_gemma":0.003530296,"threshold_uncertainty_score":0.026627123},"labels":[],"label_agreement":null},{"id":"W4389056774","doi":"10.3390/digital3040020","title":"The Human Nature of Generative AIs and the Technological Nature of Humanity: Implications for Education","year":2023,"lang":"en","type":"article","venue":"Digital","topic":"Embodied and Extended Cognition","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Orchestration; Generative grammar; Humanity; Argument (complex analysis); Process (computing); Order (exchange); Collective intelligence; Emerging technologies; Epistemology; Domain (mathematical analysis); Engineering ethics; Cognitive science; Sociology; Computer science; Psychology; Knowledge management; Artificial intelligence; Political science; Business; Engineering; Medicine","score_opus":0.028427245796480816,"score_gpt":0.3220977816346776,"score_spread":0.2936705358381968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389056774","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":[0.065378025,0.013538941,0.15766661,0.1722454,0.00081682653,0.00013991671,0.000070074835,0.00026014517,0.58988404],"genre_scores_gemma":[0.960445,0.004273564,0.018928193,0.0029605161,0.000237116,0.00015279806,0.000027882113,0.000054261767,0.012920673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962536,0.0026578286,0.00008514989,0.0002970516,0.00038692707,0.00031937833],"domain_scores_gemma":[0.9872665,0.0102190925,0.0005183563,0.0010294844,0.0004475671,0.00051905226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053751855,0.0005370063,0.0005331948,0.001436172,0.004695517,0.010108139,0.001868158,0.0037466518,0.0066295057],"category_scores_gemma":[0.0077173356,0.00034711277,0.000496969,0.001322446,0.055817056,0.016126834,0.0055899913,0.00448896,0.00060533907],"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":[0.0000025126308,0.000008513198,0.00016442759,0.000029005676,0.000001453998,0.000039244715,0.0030958324,0.00033461925,0.000032595388,0.9930189,0.00027607748,0.0029967958],"study_design_scores_gemma":[0.000005175992,0.000011553559,0.0002247265,0.00011276006,0.000002306205,0.00007241642,0.005847433,0.0008130258,0.00014359622,0.9614933,0.03126569,0.000008031136],"about_ca_topic_score_codex":0.003909309,"about_ca_topic_score_gemma":0.003467608,"teacher_disagreement_score":0.010108139,"about_ca_system_score_codex":0.0050968337,"about_ca_system_score_gemma":0.004327315,"threshold_uncertainty_score":0.03698033},"labels":[],"label_agreement":null},{"id":"W4390338679","doi":"10.3390/digital4010003","title":"Bias Reduction News Recommendation System","year":2023,"lang":"en","type":"article","venue":"Digital","topic":"Recommender Systems and Techniques","field":"Computer Science","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":"Vector Institute; University of Toronto","funders":"","keywords":"Recommender system; Computer science; Reduction (mathematics); Baseline (sea); Dual (grammatical number); Big data; Diversity (politics); Information retrieval; Artificial intelligence; Machine learning; Data mining","score_opus":0.05868565952940198,"score_gpt":0.2652049638498676,"score_spread":0.2065193043204656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390338679","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":[0.06298984,0.0043839067,0.7922032,0.0013519858,0.0011373044,0.0014955138,0.012338761,0.080847144,0.043252338],"genre_scores_gemma":[0.33659634,0.0022558407,0.553262,0.0015402765,0.00064795755,0.0006221295,0.020375082,0.0011091359,0.08359116],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899596,0.00011068521,0.00009330884,0.0003405107,0.00036927452,0.00009022662],"domain_scores_gemma":[0.99808925,0.0002616721,0.0000895733,0.0005664652,0.0009037141,0.000089282985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011815103,0.0009194429,0.001350423,0.0016157458,0.0008507554,0.0014180439,0.0014247816,0.0012459975,0.012141713],"category_scores_gemma":[0.0042346367,0.00041444527,0.0008814327,0.0012811109,0.00019899786,0.0017146923,0.0012092182,0.0012088905,0.017877867],"study_design_candidate":"simulation_or_modeling","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":[0.00073461526,0.00037014592,0.007299419,0.0006942507,0.00030249983,0.00045023838,0.0002490292,0.0098298965,0.04426496,0.0058070165,0.09913969,0.8308583],"study_design_scores_gemma":[0.00036471864,0.00048338342,0.007886004,0.00017979041,0.0007454088,0.0015251056,0.0002816906,0.64285576,0.10151886,0.011780699,0.2320977,0.00028092627],"about_ca_topic_score_codex":0.007970142,"about_ca_topic_score_gemma":0.011627687,"teacher_disagreement_score":0.012141713,"about_ca_system_score_codex":0.00047153473,"about_ca_system_score_gemma":0.0011418234,"threshold_uncertainty_score":0.040618062},"labels":[],"label_agreement":null},{"id":"W4403749739","doi":"10.3390/digital4040043","title":"Cybersecurity Transformation: Cyber-Resilient IT Project Management Framework","year":2024,"lang":"en","type":"article","venue":"Digital","topic":"Information and Cyber Security","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Humber Polytechnic; McMaster University","funders":"","keywords":"Computer security; Transformation (genetics); Computer science; Business","score_opus":0.012590825123570019,"score_gpt":0.2631215772350666,"score_spread":0.25053075211149656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403749739","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021293446,0.0009569435,0.90497285,0.0060574226,0.0001542417,0.0012215204,0.00023239217,0.0012120995,0.06389902],"genre_scores_gemma":[0.31532237,0.00077245897,0.67667586,0.00035256436,0.00007424554,0.0008410755,0.00030144985,0.00006743005,0.005592511],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9956228,0.002023716,0.000316191,0.00064327026,0.0008855036,0.0005085015],"domain_scores_gemma":[0.9980222,0.00048498414,0.00039656626,0.0002983171,0.00036675791,0.0004312304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053474014,0.00084296433,0.00031387727,0.004057042,0.0024173777,0.006735263,0.0023134504,0.0021809351,0.0025458266],"category_scores_gemma":[0.002953968,0.00043551618,0.0011299993,0.002224989,0.004685141,0.004801299,0.004295931,0.0020933931,0.00058417313],"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":[0.000029585706,0.0003565547,0.00408984,0.00031136544,0.000051002695,0.0005515417,0.0038731082,0.04712934,0.0018739686,0.83216965,0.0057019847,0.103862025],"study_design_scores_gemma":[0.00006830274,0.00035735228,0.004538665,0.00091365917,0.000082362356,0.0013201461,0.007917966,0.24562497,0.0026488898,0.5541701,0.18218456,0.00017310753],"about_ca_topic_score_codex":0.007026652,"about_ca_topic_score_gemma":0.009828482,"teacher_disagreement_score":0.007026652,"about_ca_system_score_codex":0.004648107,"about_ca_system_score_gemma":0.013173234,"threshold_uncertainty_score":0.033724487},"labels":[],"label_agreement":null},{"id":"W4414343657","doi":"10.3390/digital5030044","title":"Integrating Generative Artificial Intelligence in Clinical Dentistry: Enhancing Diagnosis, Treatment Planning, and Procedural Precision Through Advanced Knowledge Representation and Reasoning","year":2025,"lang":"en","type":"article","venue":"Digital","topic":"Dental Radiography and Imaging","field":"Dentistry","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"CLARITY; Knowledge representation and reasoning; Representation (politics); Entropy (arrow of time); Variable (mathematics); Procedural knowledge; Case-based reasoning","score_opus":0.04293598457694906,"score_gpt":0.40661763757753333,"score_spread":0.36368165300058425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414343657","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54576373,0.0020042646,0.42604563,0.004829619,0.000043351978,0.00024332304,0.000097737226,0.00041513034,0.020557249],"genre_scores_gemma":[0.9260463,0.00047224996,0.07273216,0.0002206093,0.000017573493,0.000035530556,0.000048853217,0.000016805598,0.00041001153],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9945563,0.003381365,0.00023552764,0.00032668447,0.0012906103,0.00020947342],"domain_scores_gemma":[0.9749292,0.0201029,0.0019235389,0.0019327129,0.0007924262,0.00031921422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009497212,0.0004442906,0.0003746829,0.0022787948,0.0005952646,0.004060504,0.0009132752,0.00076955545,0.0013868575],"category_scores_gemma":[0.02851159,0.00041201068,0.0007559479,0.0011578635,0.0037856246,0.0031273493,0.0033885124,0.0011815509,0.00020766437],"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":[0.0003694771,0.0006035469,0.1176979,0.00070789835,0.00030505488,0.00037467643,0.017685514,0.057792082,0.010204854,0.08084708,0.0010022473,0.7124097],"study_design_scores_gemma":[0.00013142428,0.00119512,0.09620549,0.0008109385,0.00043852002,0.0022880954,0.010416237,0.32219806,0.014965892,0.53158945,0.019396868,0.0003638834],"about_ca_topic_score_codex":0.001793063,"about_ca_topic_score_gemma":0.003206925,"teacher_disagreement_score":0.009497212,"about_ca_system_score_codex":0.0019402816,"about_ca_system_score_gemma":0.0026182574,"threshold_uncertainty_score":0.05022663},"labels":[],"label_agreement":null}]}