{"meta":{"query_hash":"e53bd679bfc5","filters":{"venue":"Data and Information Management"},"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/e53bd679bfc5","api":"https://metacan.xera.ac/api/v1/cohort?venue=Data+and+Information+Management"},"results":[{"id":"W4366498049","doi":"10.1016/j.dim.2023.100039","title":"“Do as I say but not as I do”: Influence of political leaders’ populist communication styles on public adherence in a crisis using the global case of COVID-19 movement restrictions","year":2023,"lang":"en","type":"article","venue":"Data and Information Management","topic":"Social Media and Politics","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Politics; Political communication; Government (linguistics); Champion; Political science; Leadership style; Public relations; Populism; Closure (psychology); Empirical research; Political economy; Sociology; Law","score_opus":0.15574574335495747,"score_gpt":0.4269694777245727,"score_spread":0.2712237343696152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366498049","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":[0.97780806,0.00002120304,0.00020591819,0.013330042,0.00007000306,0.0005069883,0.0006477533,0.000029291412,0.0073807295],"genre_scores_gemma":[0.9961857,0.0004167747,0.00012180468,0.0030545031,0.0000145712465,0.000017984994,0.00017555829,0.0000015832184,0.000011476972],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9987961,0.00018462147,0.0003606283,0.000087697874,0.00035984686,0.00021111121],"domain_scores_gemma":[0.9990082,0.00020589159,0.00015972272,0.0004356341,0.00007541169,0.00011516779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072141725,0.00006375229,0.000092837094,0.0001519572,0.00037816705,0.00011536094,0.00041443703,0.00004697664,0.000021168587],"category_scores_gemma":[0.00093813427,0.000056589153,0.000016379503,0.00071472954,0.0003149438,0.001246289,0.00030040558,0.00007169839,0.000014813442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008651672,0.000023893017,0.0035051974,0.000063925196,0.000014347692,0.0000034953516,0.013946898,0.00011541703,7.563188e-7,0.9799173,0.001071368,0.0013287518],"study_design_scores_gemma":[0.00038926973,0.000057832385,0.009221137,0.000052557865,0.000038810467,0.0000030296185,0.93211114,0.00093337684,0.000007844785,0.0178753,0.039198738,0.000110961126],"about_ca_topic_score_codex":0.065223545,"about_ca_topic_score_gemma":0.0017893686,"teacher_disagreement_score":0.962042,"about_ca_system_score_codex":0.00019289218,"about_ca_system_score_gemma":0.00015883881,"threshold_uncertainty_score":0.94100124},"labels":[],"label_agreement":null},{"id":"W4402115014","doi":"10.1016/j.dim.2024.100079","title":"Impact factor does not predict long-term article impact across 15 journals","year":2024,"lang":"en","type":"article","venue":"Data and Information Management","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":3,"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 British Columbia","funders":"University of Hawai'i at Mānoa; National Science Foundation","keywords":"Impact factor; Longevity; Publication; Citation; Metric (unit); Bibliometrics; Library science; Demography; Psychology; Gerontology; Medicine; Sociology; Political science; Computer science; Economics; Law","score_opus":0.47729475853568815,"score_gpt":0.6017254156890397,"score_spread":0.12443065715335155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402115014","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":[0.9673708,0.0004719455,0.024789875,0.0005834206,0.0004073986,0.00032880413,0.004731426,0.000050020884,0.0012662958],"genre_scores_gemma":[0.99742395,0.00152377,0.00014906886,0.0001351857,0.00006652373,0.000005005094,0.0001806076,0.000004713649,0.00051119074],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9942912,0.000055642424,0.0006674213,0.0003419878,0.004150936,0.00049280917],"domain_scores_gemma":[0.9976541,0.0004326659,0.0001515672,0.0009679321,0.0004267068,0.00036704078],"candidate_categories":["bibliometrics","scholarly_communication","insufficient_payload"],"consensus_categories":["bibliometrics","scholarly_communication","insufficient_payload"],"category_scores_codex":[0.008497953,0.00014389309,0.00017426522,0.012167827,0.00024653607,0.016474722,0.001774313,0.000052625157,0.0020149676],"category_scores_gemma":[0.0012843278,0.000071620714,0.00009179647,0.026459068,0.00006830918,0.01459456,0.002052873,0.00017375784,0.0010028125],"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":[0.000024657491,0.000024947867,0.09076848,0.00003700353,0.00008164383,0.0000118006465,0.00028110153,0.000027539372,0.000045898712,0.000086280095,0.031234387,0.87737626],"study_design_scores_gemma":[0.00025678735,0.000083540916,0.90265554,0.000021407228,0.000008385088,0.0000073871547,0.00019723504,0.060529795,0.00007304294,0.00017637968,0.035877872,0.00011264374],"about_ca_topic_score_codex":0.00003202017,"about_ca_topic_score_gemma":0.0000043824807,"teacher_disagreement_score":0.8772636,"about_ca_system_score_codex":0.00009721552,"about_ca_system_score_gemma":0.00004788122,"threshold_uncertainty_score":0.999775},"labels":[],"label_agreement":null},{"id":"W4403629161","doi":"10.1016/j.dim.2024.100082","title":"Trustworthy AI: AI developers’ lens to implementation challenges and opportunities","year":2024,"lang":"en","type":"article","venue":"Data and Information Management","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":10,"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 Guelph","funders":"","keywords":"Trustworthiness; Lens (geology); Computer science; Through-the-lens metering; Data science; Engineering; Computer security","score_opus":0.12806200468131557,"score_gpt":0.3369980582022055,"score_spread":0.20893605352088995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403629161","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009319253,0.0013818953,0.8979959,0.060889337,0.00037818373,0.0006799854,0.00010311669,0.0002765599,0.03736311],"genre_scores_gemma":[0.7350722,0.118689835,0.07072893,0.06979202,0.0002641623,0.00037341623,0.0031436407,0.000040438994,0.0018953702],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920905,0.000017346994,0.0002425283,0.0001954029,0.00017711928,0.00015856641],"domain_scores_gemma":[0.9994742,0.000016600407,0.00002639685,0.0003795955,0.000043138185,0.00006005362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044763216,0.000089418485,0.00006559761,0.00026256288,0.000113452865,0.00075272174,0.00038278208,0.000017264114,0.000027352018],"category_scores_gemma":[0.0000056344893,0.00008363942,0.000006722587,0.00013679452,0.000017868058,0.011618811,0.0008767544,0.000045455767,0.00014213017],"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":[9.613603e-7,0.0000016167039,0.0000031616357,0.00007559729,0.000011689312,0.0000029877497,0.0032368489,0.000007364561,4.971304e-7,0.4102776,0.01610772,0.57027394],"study_design_scores_gemma":[0.000043865766,0.00003504588,0.0006239939,0.00002915154,0.000007790779,0.000004019265,0.0088083185,0.04604135,0.000046842233,0.0016403879,0.9426015,0.00011775139],"about_ca_topic_score_codex":0.000021182026,"about_ca_topic_score_gemma":0.000028515973,"teacher_disagreement_score":0.92649376,"about_ca_system_score_codex":0.000022035596,"about_ca_system_score_gemma":0.00002145277,"threshold_uncertainty_score":0.8423357},"labels":[],"label_agreement":null},{"id":"W4405992182","doi":"10.1016/j.dim.2024.100090","title":"Evils of knowledge sharing and learning: The case of agri-food misinformation in virtual communities of practices in Sri Lanka","year":2025,"lang":"en","type":"article","venue":"Data and Information Management","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":11,"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":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Misinformation; Sri lanka; Knowledge sharing; Business; Knowledge management; Computer science; Sociology; Socioeconomics; Computer security; Tanzania","score_opus":0.07302886545913594,"score_gpt":0.36715817919947136,"score_spread":0.2941293137403354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405992182","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":[0.85998464,0.00009741204,0.00021809294,0.00024858065,0.000035090354,0.00031275456,0.00003735455,0.0000063117163,0.1390598],"genre_scores_gemma":[0.9985949,0.0010976684,0.0000715504,0.000065922,0.0000023801574,0.0000017051653,0.00011484163,5.6279356e-7,0.00005047131],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9992018,0.00009718623,0.00048313825,0.000030222585,0.00011006624,0.00007758495],"domain_scores_gemma":[0.9991061,0.0001560712,0.00046909062,0.00019329615,0.00005982047,0.000015615724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021367916,0.000047476176,0.00010376351,0.00033230716,0.00011853635,0.0000680162,0.00023264169,0.000030174997,0.000015010032],"category_scores_gemma":[0.00033405007,0.000038211772,0.0000072435687,0.0003447063,0.00010845417,0.0045027286,0.0002973923,0.000091569615,0.0000010817229],"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":[0.000040763713,0.000042651634,0.0049021835,0.0009768537,0.000035468056,3.230361e-7,0.6246776,0.00036787993,0.0000011926313,0.21860524,0.00048680828,0.14986302],"study_design_scores_gemma":[0.0006150465,0.000054304932,0.017458046,0.00023416977,0.000016758759,0.0000014492781,0.8975718,0.026819173,0.00001423001,0.00013571732,0.057021238,0.000058065598],"about_ca_topic_score_codex":0.0014971462,"about_ca_topic_score_gemma":0.0030916738,"teacher_disagreement_score":0.27289417,"about_ca_system_score_codex":0.000016588228,"about_ca_system_score_gemma":0.000031877233,"threshold_uncertainty_score":0.32643694},"labels":[],"label_agreement":null},{"id":"W7101426446","doi":"10.1016/j.dim.2025.100115","title":"Enhancing fake news detection through estimating user tendencies to spread fake news","year":2025,"lang":"en","type":"article","venue":"Data and Information Management","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fake news; Social media; Perception; News media; Estimator; Feature (linguistics); User engagement","score_opus":0.03346159121949016,"score_gpt":0.3354998462347604,"score_spread":0.30203825501527026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101426446","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0070292167,0.000019697545,0.6854729,0.0028481118,0.00071117963,0.0007682855,0.00005606912,0.0001592186,0.3029353],"genre_scores_gemma":[0.67099994,0.0025116669,0.23153885,0.07142634,0.00070253765,0.00010682658,0.0023772698,0.000030209307,0.02030639],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987972,0.000037214068,0.0004385654,0.00012858723,0.00034948162,0.0002490011],"domain_scores_gemma":[0.9992851,0.00003643689,0.00014097923,0.0003823037,0.00006985812,0.000085343454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062695093,0.000110302484,0.00011037962,0.00022798277,0.00065024453,0.00069853687,0.00034693192,0.000052942807,0.0001015126],"category_scores_gemma":[0.00036038147,0.000103830236,0.000017962011,0.0005034616,0.000038266047,0.009368469,0.00036136847,0.00007357793,0.0002085884],"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":[0.000017255199,0.000013245528,0.00012737208,0.00023594349,0.000040457788,3.1651928e-7,0.044439696,0.0003044007,0.000015355188,0.06399536,0.058116853,0.83269376],"study_design_scores_gemma":[0.00022354674,0.000015008979,0.0015039069,0.000087275264,0.000019844107,2.944022e-7,0.06613157,0.0039719683,0.00009750652,0.00035587134,0.92746854,0.00012467228],"about_ca_topic_score_codex":0.0012835437,"about_ca_topic_score_gemma":0.002258117,"teacher_disagreement_score":0.8693517,"about_ca_system_score_codex":0.00008200855,"about_ca_system_score_gemma":0.000044318153,"threshold_uncertainty_score":0.6791914},"labels":[],"label_agreement":null}]}