{"meta":{"query_hash":"9fc339dd3be4","filters":{"venue":"Journal of Information and Knowledge"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/9fc339dd3be4","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Information+and+Knowledge"},"results":[{"id":"W4388864379","doi":"10.17821/srels/2023/v60i5/170707","title":"Text Mining of Journal Article Titles: An LDA-Based Topic Modeling Approach","year":2023,"lang":"en","type":"article","venue":"Journal of Information and Knowledge","topic":"Computational and Text Analysis Methods","field":"Social Sciences","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":"Science North","funders":"","keywords":"Latent Dirichlet allocation; Topic model; Computer science; Data science; Field (mathematics); Scholarship; Information retrieval; Mathematics; Political science","score_opus":0.06950786620653424,"score_gpt":0.3762300616837654,"score_spread":0.3067221954772311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388864379","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":[0.8589087,0.00012444955,0.11987333,0.00028828735,0.00018710956,0.00003370395,8.475004e-7,0.000010986356,0.020572547],"genre_scores_gemma":[0.9884652,0.000045962337,0.011096785,0.000042982883,0.00017830299,3.0176125e-7,0.0000015695522,0.0000017050156,0.00016722585],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913424,0.00012062782,0.00041507522,0.000023749008,0.00022157424,0.00008476005],"domain_scores_gemma":[0.9991292,0.00009684868,0.00025695952,0.000029932953,0.00039305663,0.00009403944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020445096,0.000038164424,0.0001162497,0.00029488813,0.00018836487,0.00008495478,0.00009079902,0.000032887405,0.000045696197],"category_scores_gemma":[0.00022822627,0.0000300742,0.00006654377,0.00038111414,0.000036679863,0.0007390264,0.000011294105,0.000087342094,0.0000084422745],"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":[0.000074871066,0.00018889215,0.0040701483,0.00011462451,0.00010087977,0.000002962511,0.15331154,0.10168318,0.0002183198,0.016355215,0.0026676515,0.72121173],"study_design_scores_gemma":[0.0004795205,0.00006398761,0.0019680224,0.000042173764,0.000026490954,0.0000101070345,0.025584536,0.96094644,0.000042081185,0.0020562583,0.008715373,0.00006499862],"about_ca_topic_score_codex":0.000011426949,"about_ca_topic_score_gemma":0.000016911852,"teacher_disagreement_score":0.8592633,"about_ca_system_score_codex":0.000026223868,"about_ca_system_score_gemma":0.00025950125,"threshold_uncertainty_score":0.14487693},"labels":[],"label_agreement":null},{"id":"W4403736768","doi":"10.17821/srels/2024/v61i5/171586","title":"Technology, AI and Productivity","year":2024,"lang":"en","type":"article","venue":"Journal of Information and Knowledge","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","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":"Dalhousie University","funders":"","keywords":"Productivity; Economics; Economic growth","score_opus":0.020082951660360254,"score_gpt":0.2369219340219007,"score_spread":0.21683898236154045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403736768","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":[0.9196978,0.014181923,0.017312977,0.010322884,0.00066718215,0.00009934378,0.000013308695,0.00007377528,0.037630767],"genre_scores_gemma":[0.99894065,0.0003083396,0.00043434146,0.00008499293,0.000051042152,0.0000013254001,8.1425384e-7,0.0000020243976,0.00017647534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994461,0.0000017901104,0.0004371049,0.00005008986,0.000007998115,0.00005692802],"domain_scores_gemma":[0.99969536,0.0000109583025,0.00017361339,0.0000451403,0.00005448292,0.000020470003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046566495,0.0000463073,0.00013017475,0.000553098,0.000034092147,0.00009216408,0.000045307963,0.000080075304,0.000028426144],"category_scores_gemma":[0.00011112076,0.00004020197,0.000019899999,0.00023970677,0.00005919291,0.0010910014,0.000029668006,0.00017885215,0.000090338006],"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":[0.0000026478738,0.000009244138,0.0042844764,0.000045767036,0.000014308886,3.943007e-7,0.00019187886,4.2259072e-7,0.000009077997,0.8775538,0.0014569698,0.116430975],"study_design_scores_gemma":[0.00025672905,0.00011842667,0.007577725,0.000050211074,0.000003928828,0.00012328096,0.00016208724,0.0030785173,0.00024414816,0.3341832,0.6540993,0.00010249965],"about_ca_topic_score_codex":9.3804084e-7,"about_ca_topic_score_gemma":6.6549006e-7,"teacher_disagreement_score":0.6526423,"about_ca_system_score_codex":0.00002613929,"about_ca_system_score_gemma":0.000015902619,"threshold_uncertainty_score":0.16393887},"labels":[],"label_agreement":null},{"id":"W4405076471","doi":"10.17821/srels/2024/v61i6/171623","title":"The Next Generation of Responsible AI Policies and Regulations","year":2024,"lang":"en","type":"article","venue":"Journal of Information and Knowledge","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","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":"Dalhousie University","funders":"","keywords":"Generative grammar; Applications of artificial intelligence; Focus (optics); Computer science; Core (optical fiber); Engineering ethics; Artificial intelligence; Knowledge management; Data science; Political science; Engineering","score_opus":0.09806756045300916,"score_gpt":0.40177814732740214,"score_spread":0.303710586874393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405076471","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":[0.7309767,0.011554662,0.0008154717,0.115037926,0.0015940072,0.00020768942,0.000008255749,0.000026092044,0.1397792],"genre_scores_gemma":[0.9947436,0.004024216,0.00011256227,0.00016910449,0.00025825342,3.4204703e-7,5.1735896e-7,0.0000013395352,0.00069005915],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994618,0.00007311309,0.0002557266,0.00001481661,0.00013446195,0.00006005856],"domain_scores_gemma":[0.9990786,0.00024371395,0.00011061235,0.000026543183,0.00049033156,0.00005021718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016585485,0.00002827151,0.0000575149,0.000109034554,0.00047489587,0.0005198897,0.00004523436,0.000050924413,0.000006379633],"category_scores_gemma":[0.0007137012,0.000018486577,0.00002700869,0.0001568681,0.00017817263,0.0017618912,0.000012539792,0.000111820555,0.0000021926867],"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":[0.000009312829,0.0000049095265,0.00006440627,0.000022628241,0.000015869457,1.120852e-7,0.13920441,0.000004555348,0.0003501007,0.8026386,0.012357132,0.04532795],"study_design_scores_gemma":[0.0001978331,0.00011659008,0.0039613144,0.00012822084,0.000026400918,0.000008585417,0.0318035,0.0028082847,0.0003298699,0.04352277,0.91702175,0.00007486846],"about_ca_topic_score_codex":0.000063887004,"about_ca_topic_score_gemma":0.00044745626,"teacher_disagreement_score":0.90466464,"about_ca_system_score_codex":0.000022379418,"about_ca_system_score_gemma":0.00048515227,"threshold_uncertainty_score":0.50133085},"labels":[],"label_agreement":null}]}