{"meta":{"query_hash":"2358a6b26349","filters":{"venue":"IEEE Transactions on Learning Technologies"},"cohort_total":13,"direct_labels_cover":0,"predictions_cover":13,"exported":13,"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/2358a6b26349","api":"https://metacan.xera.ac/api/v1/cohort?venue=IEEE+Transactions+on+Learning+Technologies"},"results":[{"id":"W2111205609","doi":"10.1109/tlt.2009.40","title":"Recommendations in Online Discussion Forums for E-Learning Systems","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Learning Technologies","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":93,"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 Saskatchewan","funders":"","keywords":"Personalization; Computer science; Collaborative filtering; Recommender system; World Wide Web; Online discussion; Order (exchange); Architecture; Information retrieval; Multimedia; Human–computer interaction","score_opus":0.029436338750453907,"score_gpt":0.288465978733924,"score_spread":0.25902963998347006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111205609","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":[0.07660023,0.0044917995,0.89184135,0.0032513163,0.00064281677,0.00217604,0.002032971,0.005134434,0.013829056],"genre_scores_gemma":[0.40157714,0.0012846794,0.5820743,0.00029730317,0.0003801433,0.001293032,0.002679392,0.000325383,0.010088632],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9772859,0.0151797645,0.0013070852,0.0023616643,0.0033049441,0.0005606754],"domain_scores_gemma":[0.9356827,0.045671143,0.0038305786,0.00711059,0.006214317,0.0014906689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025882373,0.001265912,0.0014656516,0.004412924,0.0035716104,0.0063261543,0.0025996938,0.0036648645,0.008955247],"category_scores_gemma":[0.07922851,0.0013473526,0.0015414834,0.003293471,0.0013118171,0.010783692,0.003359459,0.0024898625,0.00393069],"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":[0.0017553,0.0015195131,0.025789812,0.0026866733,0.00046326267,0.0007920734,0.008058836,0.060422555,0.01204247,0.1373583,0.029691458,0.71941984],"study_design_scores_gemma":[0.00043801722,0.0008916449,0.011005108,0.0009149501,0.0003039585,0.00065418606,0.0029002114,0.547108,0.0142716775,0.2481644,0.1729978,0.00035002964],"about_ca_topic_score_codex":0.0038448076,"about_ca_topic_score_gemma":0.0043973103,"teacher_disagreement_score":0.025882373,"about_ca_system_score_codex":0.0023971219,"about_ca_system_score_gemma":0.0016118699,"threshold_uncertainty_score":0.13688076},"labels":[],"label_agreement":null},{"id":"W2138657316","doi":"10.1109/tlt.2012.9","title":"Ontology Extraction Tools: An Empirical Study with Educators","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Learning Technologies","topic":"Semantic Web and Ontologies","field":"Computer Science","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":"Athabasca University; Simon Fraser University","funders":"Athabasca University","keywords":"Ontology; Computer science; Domain (mathematical analysis); Ontology learning; Upper ontology; Data science; Process ontology; Empirical research; Information retrieval; Information extraction; Ontology-based data integration; World Wide Web; Knowledge management; Semantic Web; Suggested Upper Merged Ontology","score_opus":0.04537280766865238,"score_gpt":0.3298453082444168,"score_spread":0.28447250057576445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138657316","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":[0.99520445,0.0001596302,0.0021933294,0.00027945018,0.000008796238,0.00043115448,0.00008304401,0.00002763925,0.0016124677],"genre_scores_gemma":[0.988947,0.00058780564,0.0077450294,0.00030474723,0.000012106611,0.00059397385,0.0002183993,0.00003440692,0.0015565434],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9831807,0.008742992,0.0020135352,0.0014757246,0.00346755,0.0011193757],"domain_scores_gemma":[0.8323078,0.12758671,0.008833429,0.0051826783,0.021269172,0.004820228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.030605186,0.0005858936,0.0009712207,0.004577843,0.0046754917,0.004216819,0.0014321752,0.0018414565,0.0021786233],"category_scores_gemma":[0.11422562,0.00071056816,0.00048347103,0.0036241882,0.0028856697,0.0057771835,0.0033743505,0.0025490143,0.0006715581],"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":[0.00037424426,0.0159238,0.33411425,0.0010403108,0.000055543776,0.002629913,0.52778524,0.00030151106,0.0026424704,0.0014195265,0.0022622496,0.11145093],"study_design_scores_gemma":[0.00021663563,0.0032124652,0.1519086,0.0010952965,0.00014514853,0.002481331,0.80057806,0.0029029043,0.0067652497,0.00093002454,0.029610166,0.00015418303],"about_ca_topic_score_codex":0.0050064586,"about_ca_topic_score_gemma":0.009467617,"teacher_disagreement_score":0.030605186,"about_ca_system_score_codex":0.0023696541,"about_ca_system_score_gemma":0.0037132527,"threshold_uncertainty_score":0.1618576},"labels":[],"label_agreement":null},{"id":"W2139776525","doi":"10.1109/tlt.2012.15","title":"The Collaborative Lecture Annotation System (CLAS): A New TOOL for Distributed Learning","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Learning Technologies","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":68,"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":"","keywords":"Annotation; Computer science; Context (archaeology); Comprehension; Process (computing); Collaborative learning; Key (lock); Collaborative software; Human–computer interaction; Perception; Information extraction; Multimedia; World Wide Web; Information retrieval; Artificial intelligence; Knowledge management; Programming language","score_opus":0.026569215231115443,"score_gpt":0.3364128513103226,"score_spread":0.3098436360792072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139776525","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":[0.0067775226,0.00043489283,0.94224477,0.0006601103,0.00042954035,0.00029129878,0.00096079207,0.04103282,0.007168171],"genre_scores_gemma":[0.06711612,0.0004714714,0.91210055,0.00037935493,0.0004317745,0.00065909396,0.0030672238,0.0028069722,0.012967437],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9920334,0.0025794504,0.0006324628,0.0017119307,0.0027984786,0.0002442335],"domain_scores_gemma":[0.97771305,0.0112962015,0.001089107,0.005958666,0.0026117524,0.001331337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074978773,0.0013696959,0.0011279759,0.003621479,0.00179172,0.0040506604,0.0034143832,0.0018017447,0.01580809],"category_scores_gemma":[0.020071752,0.0007416769,0.00093048223,0.002572003,0.0021013971,0.007118563,0.0073468727,0.0030382164,0.0065477183],"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":[0.00056995655,0.0002509516,0.0014208646,0.0011524709,0.000073263516,0.00036210922,0.004386932,0.0017443297,0.043315176,0.018489484,0.041999318,0.8862351],"study_design_scores_gemma":[0.00039538037,0.0008597596,0.005181146,0.00070151227,0.00016175625,0.0023176158,0.0016422529,0.052009434,0.07523003,0.04765972,0.8131933,0.0006480804],"about_ca_topic_score_codex":0.0013769121,"about_ca_topic_score_gemma":0.0020756007,"teacher_disagreement_score":0.01580809,"about_ca_system_score_codex":0.0009681872,"about_ca_system_score_gemma":0.0031046413,"threshold_uncertainty_score":0.052883267},"labels":[],"label_agreement":null},{"id":"W2157958392","doi":"10.1109/tlt.2011.21","title":"An Approach to Folksonomy-Based Ontology Maintenance for Learning Environments","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Learning Technologies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Royal Military College of Canada; Athabasca University","funders":"","keywords":"Computer science; Ontology; Folksonomy; Usability; Upper ontology; Process ontology; Ontology-based data integration; World Wide Web; Semantic Web; Human–computer interaction","score_opus":0.03614750268683599,"score_gpt":0.24236956760111827,"score_spread":0.2062220649142823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157958392","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":[0.0027620497,0.00008776284,0.9934674,0.00028455103,0.000034774344,0.0001482706,0.000079160345,0.0017824536,0.0013537012],"genre_scores_gemma":[0.025402967,0.00007954519,0.97212607,0.00006472556,0.000017955583,0.00015800995,0.00028542656,0.00025841556,0.001606926],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9929073,0.0018906586,0.00069923763,0.0013481576,0.002928343,0.0002262629],"domain_scores_gemma":[0.9867849,0.0032166168,0.0009926257,0.0051951674,0.0034569504,0.00035385162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006504596,0.00076692214,0.0010725525,0.004898846,0.0023370986,0.005627788,0.0045476356,0.0019359565,0.0025825717],"category_scores_gemma":[0.024181014,0.0008716779,0.0015448763,0.004749131,0.0020011466,0.009971932,0.0054793213,0.002565667,0.0016102861],"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":[0.00015809321,0.00049710553,0.0026973125,0.0005945825,0.00015668919,0.00036713685,0.006935436,0.013622062,0.01729412,0.1805769,0.009462134,0.7676385],"study_design_scores_gemma":[0.000089439345,0.00018661054,0.002986713,0.00038638516,0.00023584678,0.0018167172,0.0031379878,0.41637975,0.043384686,0.25840086,0.27267072,0.00032437997],"about_ca_topic_score_codex":0.00407364,"about_ca_topic_score_gemma":0.0069909897,"teacher_disagreement_score":0.006504596,"about_ca_system_score_codex":0.001833251,"about_ca_system_score_gemma":0.0026180358,"threshold_uncertainty_score":0.034399986},"labels":[],"label_agreement":null},{"id":"W2162174474","doi":"10.1109/tlt.2010.12","title":"Context-Aware Services for Smart Learning Spaces","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Learning Technologies","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Thunder Bay Regional Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Collaborative learning; Ubiquitous computing; Context (archaeology); Multimedia; Schedule; Context awareness; Ontology; Synchronous learning; Educational technology; Human–computer interaction; World Wide Web; Cooperative learning; Knowledge management; Teaching method","score_opus":0.011586466993685825,"score_gpt":0.2543860857676402,"score_spread":0.2427996187739544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162174474","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":[0.014150967,0.009357947,0.9037405,0.0037188265,0.0012213936,0.00040743957,0.0003653662,0.0054750005,0.06156257],"genre_scores_gemma":[0.39753705,0.009127169,0.56533563,0.0015935957,0.0006635636,0.0007221114,0.0010224587,0.00043337882,0.023564966],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992213,0.0001790363,0.000063820866,0.00007711962,0.0003502557,0.000108420165],"domain_scores_gemma":[0.99957806,0.000103772465,0.000036120615,0.00010939003,0.0000904657,0.00008224303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064970687,0.00060086296,0.00042241,0.00066339696,0.0011486707,0.002652382,0.0012570232,0.0017118981,0.0032981483],"category_scores_gemma":[0.0013650202,0.0002714156,0.0005354949,0.00094542623,0.00066966534,0.003896699,0.002451767,0.0014965885,0.0013416052],"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":[0.00014194813,0.000121018624,0.0008147016,0.0010019998,0.000063950414,0.0008130972,0.0011350253,0.021474164,0.015076909,0.5503867,0.03341025,0.37556016],"study_design_scores_gemma":[0.000046819525,0.000079143356,0.00052228494,0.00030412126,0.000063148254,0.0006834736,0.00049793493,0.08659723,0.007182713,0.22520955,0.67875534,0.000058201975],"about_ca_topic_score_codex":0.0025833298,"about_ca_topic_score_gemma":0.0038466034,"teacher_disagreement_score":0.0032981483,"about_ca_system_score_codex":0.00090541935,"about_ca_system_score_gemma":0.0011775773,"threshold_uncertainty_score":0.011033356},"labels":[],"label_agreement":null},{"id":"W2162376067","doi":"10.1109/tlt.2008.12","title":"Building Domain Ontologies from Text for Educational Purposes","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Learning Technologies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":97,"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 du Québec à Montréal","funders":"","keywords":"Computer science; Ontology; Domain (mathematical analysis); Ontology learning; IDEF5; Bridge (graph theory); Domain analysis; Domain model; Domain knowledge; Formal concept analysis; Domain engineering; Artificial intelligence; Natural language processing; Information retrieval; Process ontology; Suggested Upper Merged Ontology; Software; Software development","score_opus":0.026016166726241942,"score_gpt":0.2651617681795095,"score_spread":0.23914560145326755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162376067","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":[0.00531579,0.00022347306,0.98101646,0.0003932689,0.00010460406,0.0003124944,0.0020131923,0.002815336,0.007805264],"genre_scores_gemma":[0.054815806,0.00056624034,0.9326965,0.00014323188,0.00004985874,0.00046863753,0.0078759175,0.00064746436,0.0027364092],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793446,0.00057502557,0.00023722883,0.0003716408,0.00079462276,0.00008700287],"domain_scores_gemma":[0.99535984,0.0025307576,0.00037261026,0.0006712481,0.00096377515,0.00010180799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019067382,0.0011136455,0.0006436727,0.00815351,0.0013006546,0.0031925438,0.0014344814,0.0010687939,0.0055962955],"category_scores_gemma":[0.011105909,0.00062699115,0.0015700362,0.0044329003,0.0011413209,0.0059533515,0.0037215159,0.0017725149,0.003229269],"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":[0.00011333669,0.00024921462,0.002151605,0.0018894564,0.00016060837,0.0012710433,0.004280475,0.032660477,0.01633689,0.2721724,0.021008385,0.6477061],"study_design_scores_gemma":[0.000049220245,0.000056879202,0.0017195012,0.0009953137,0.00016655475,0.0007614484,0.0025221517,0.14612561,0.030414674,0.35938674,0.45766672,0.00013514589],"about_ca_topic_score_codex":0.003775903,"about_ca_topic_score_gemma":0.0040523494,"teacher_disagreement_score":0.00815351,"about_ca_system_score_codex":0.0010374276,"about_ca_system_score_gemma":0.0025182278,"threshold_uncertainty_score":0.01872152},"labels":[],"label_agreement":null},{"id":"W2764061889","doi":"10.1109/tlt.2017.2762688","title":"Design and Empirical Validation of Effectiveness of LANGA, an Online Game-Based Platform for Second Language Learning","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Learning Technologies","topic":"Reading and Literacy Development","field":"Psychology","cited_by":25,"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":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Computer science; Modular design; Multimedia; Empirical research; Human–computer interaction; Artificial intelligence","score_opus":0.06914866576946123,"score_gpt":0.3661203882899095,"score_spread":0.2969717225204483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2764061889","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":[0.85220045,0.00018386419,0.029056918,0.0002460431,0.00014328428,0.11183989,0.0007133038,0.00043038503,0.0051859133],"genre_scores_gemma":[0.63817245,0.0002889058,0.17046453,0.0005533096,0.00008621289,0.18452108,0.00066846376,0.00012449989,0.0051205503],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99238294,0.0035823884,0.0006824893,0.0014558585,0.0012483699,0.00064806285],"domain_scores_gemma":[0.9779312,0.010803393,0.0019606776,0.0023489087,0.0044221375,0.0025335585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013182939,0.0013639376,0.00073889387,0.0010919085,0.000953846,0.0015867905,0.0019314628,0.0014105728,0.0052805953],"category_scores_gemma":[0.026012946,0.00083491247,0.00088674313,0.00033378022,0.0017826767,0.0014921792,0.0016309222,0.0013314196,0.0015764326],"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":[0.048574045,0.22458377,0.057412293,0.0077921096,0.0006583891,0.0018039052,0.01467014,0.0154516045,0.08956985,0.009637551,0.00592966,0.52391666],"study_design_scores_gemma":[0.047809202,0.6220971,0.13897192,0.0013136213,0.0012892613,0.0007614053,0.007050567,0.033113047,0.06905976,0.010299812,0.067655206,0.00057913107],"about_ca_topic_score_codex":0.0008360123,"about_ca_topic_score_gemma":0.0011584465,"teacher_disagreement_score":0.013182939,"about_ca_system_score_codex":0.001764615,"about_ca_system_score_gemma":0.0039370335,"threshold_uncertainty_score":0.0697189},"labels":[],"label_agreement":null},{"id":"W2797581104","doi":"10.1109/tlt.2018.2823710","title":"Adaptive Gamification for Learning Environments","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Learning Technologies","topic":"Educational Games and Gamification","field":"Psychology","cited_by":230,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; JDA Software (Canada)","funders":"Association Nationale de la Recherche et de la Technologie","keywords":"Computer science; Adaptation (eye); Relevance (law); Human–computer interaction; Process (computing); Learning environment; Multimedia; Game based learning; Mathematics education; Psychology","score_opus":0.03831075545932814,"score_gpt":0.31435929843865734,"score_spread":0.2760485429793292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797581104","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":[0.07477491,0.003115699,0.8682075,0.0010992436,0.00013734147,0.0010497363,0.000095209805,0.0015569107,0.049963385],"genre_scores_gemma":[0.5501597,0.0013568281,0.43960044,0.00014209324,0.000024401314,0.0010009796,0.00013189753,0.000078753525,0.0075049745],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990339,0.00052349915,0.00004515727,0.00011769721,0.00019835007,0.00008145513],"domain_scores_gemma":[0.9990821,0.0006202893,0.000063735824,0.00009500088,0.00007088735,0.00006802745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014553118,0.0009173794,0.00038515028,0.0008245698,0.0004167328,0.0021287783,0.0008641042,0.0010490253,0.0045228614],"category_scores_gemma":[0.0049715512,0.0002424276,0.0006645705,0.00045378937,0.00096146524,0.0021250471,0.0020850385,0.0010034284,0.000680224],"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":[0.0003148199,0.0005331001,0.0050645475,0.0012912729,0.000113294955,0.0005312502,0.0029009676,0.08554983,0.008646819,0.4280027,0.004452887,0.46259847],"study_design_scores_gemma":[0.00017074912,0.00053552183,0.0050289948,0.0007953805,0.0001323192,0.0008365459,0.0011207836,0.48828584,0.0051615867,0.39670596,0.10109761,0.00012866665],"about_ca_topic_score_codex":0.0009771121,"about_ca_topic_score_gemma":0.0017192552,"teacher_disagreement_score":0.0045228614,"about_ca_system_score_codex":0.0006954335,"about_ca_system_score_gemma":0.0005852166,"threshold_uncertainty_score":0.01513046},"labels":[],"label_agreement":null},{"id":"W4230947401","doi":"10.1109/tlt.2013.36","title":"Editorial","year":2013,"lang":"en","type":"editorial","venue":"IEEE Transactions on Learning Technologies","topic":"Innovative Teaching and Learning Methods","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":"University of Toronto","funders":"","keywords":"Computer science","score_opus":0.02055699600303383,"score_gpt":0.3420681995385221,"score_spread":0.32151120353548823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230947401","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000087078406,0.003929327,0.0003506102,0.038554173,0.9400314,0.000044182754,0.00030494912,0.00027862831,0.0164197],"genre_scores_gemma":[0.0017508748,0.007699425,0.0005554569,0.052225504,0.78958595,0.00008514934,0.00070553867,0.00037928467,0.14701274],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996418,0.00034800064,0.00035197285,0.0006876709,0.0018073752,0.00038695234],"domain_scores_gemma":[0.9785331,0.0024702216,0.0010485299,0.0012374842,0.012789128,0.0039213984],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033538216,0.0014502745,0.0014666093,0.0022641057,0.0021652807,0.0071602827,0.002582115,0.005260982,0.20323859],"category_scores_gemma":[0.02276526,0.0004903736,0.0013890213,0.0010923076,0.0013145092,0.0049468586,0.001935868,0.0075733485,0.12645781],"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":[0.000013149263,0.000006896963,0.000029664983,0.00007723919,0.0000027672922,0.000055728193,0.000008202414,0.000010063831,0.000044635857,0.00042106846,0.98623925,0.013091338],"study_design_scores_gemma":[0.0000065968757,0.000010048814,0.00008901495,0.00010720974,0.0000032556277,0.00012316626,0.000024078463,0.000017294129,0.00004690132,0.00043075907,0.9991371,0.000004702675],"about_ca_topic_score_codex":0.0008773939,"about_ca_topic_score_gemma":0.0015381814,"teacher_disagreement_score":0.7967614,"about_ca_system_score_codex":0.001839975,"about_ca_system_score_gemma":0.0031250343,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4287854572","doi":"10.1109/tlt.2022.3193751","title":"Automatic Learning Path Creation Using OER: A Systematic Literature Mapping","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Learning Technologies","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Metadata; Path (computing); Focus (optics); Set (abstract data type); Scopus; Information retrieval; Artificial intelligence; Data science; World Wide Web","score_opus":0.018895426242973856,"score_gpt":0.25535027273298283,"score_spread":0.23645484649000897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287854572","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":[0.1373106,0.24944913,0.43749967,0.006593484,0.001607552,0.08965288,0.03928208,0.0034402823,0.035164308],"genre_scores_gemma":[0.10412318,0.07863483,0.75564533,0.0013543438,0.00017949096,0.038931817,0.016373167,0.0005029004,0.0042548804],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.97560173,0.008557478,0.0068732514,0.0026460737,0.0058047697,0.0005166869],"domain_scores_gemma":[0.8879353,0.07297351,0.009192096,0.008022119,0.021150636,0.00072631985],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.040302187,0.0017735654,0.0027303826,0.1059697,0.0030847432,0.00429281,0.0024814468,0.001528042,0.0058601107],"category_scores_gemma":[0.09680064,0.0012128702,0.0029391632,0.04217619,0.0018724139,0.0076383734,0.006412562,0.0013579768,0.001746333],"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":[0.0001874117,0.0002690332,0.009214927,0.15567382,0.0010500123,0.001434637,0.019295614,0.0011423425,0.009135598,0.01217141,0.013259604,0.7771657],"study_design_scores_gemma":[0.000408481,0.0007829104,0.026174577,0.25621372,0.008827082,0.0033083633,0.04955449,0.0058375513,0.02331494,0.033749506,0.5911626,0.00066571054],"about_ca_topic_score_codex":0.0042127864,"about_ca_topic_score_gemma":0.010668207,"teacher_disagreement_score":0.99751854,"about_ca_system_score_codex":0.0034344508,"about_ca_system_score_gemma":0.029083176,"threshold_uncertainty_score":0.2131409},"labels":[],"label_agreement":null},{"id":"W4407168991","doi":"10.1109/tlt.2025.3539104","title":"Navigating the Textual Maze: Enhancing Textual Analytical Skills Through an Innovative GAI Prompt Framework","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Learning Technologies","topic":"Topic Modeling","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute for Christian Studies; University of Toronto","funders":"","keywords":"Computer science; Multimedia; Knowledge management; Natural language processing; Human–computer interaction; Artificial intelligence; Mathematics education; World Wide Web; Psychology","score_opus":0.018108583857922345,"score_gpt":0.3172257180081921,"score_spread":0.29911713415026975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407168991","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":[0.43105942,0.0006349253,0.5323659,0.0010637046,0.00018148913,0.0012906804,0.0009450018,0.01823674,0.014222081],"genre_scores_gemma":[0.62567025,0.00032998621,0.3666494,0.00029051598,0.000046620044,0.0008228354,0.00071549264,0.00039165144,0.005083309],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991702,0.00036716438,0.000044890112,0.00016948348,0.00018102591,0.00006720693],"domain_scores_gemma":[0.9926085,0.005406498,0.0004447196,0.00057503313,0.0005254675,0.00043975795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016840653,0.0008096934,0.0005275699,0.00083100545,0.0003506351,0.0014480051,0.0012911649,0.0007322552,0.005021398],"category_scores_gemma":[0.012882664,0.00021985044,0.00031094768,0.0005745597,0.0005124555,0.001782378,0.0018758872,0.0008553667,0.0014315213],"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":[0.0016045916,0.002083335,0.015326964,0.0021408873,0.000048277023,0.0013521904,0.014839021,0.009164918,0.10076054,0.0099785505,0.011883755,0.8308171],"study_design_scores_gemma":[0.0017492798,0.012446318,0.0897869,0.0023407035,0.00077197346,0.007362271,0.02576266,0.30767033,0.19951475,0.08020104,0.27164152,0.0007522802],"about_ca_topic_score_codex":0.00052521325,"about_ca_topic_score_gemma":0.0010257214,"teacher_disagreement_score":0.005021398,"about_ca_system_score_codex":0.00038410584,"about_ca_system_score_gemma":0.0012097463,"threshold_uncertainty_score":0.016798258},"labels":[],"label_agreement":null},{"id":"W4416750071","doi":"10.1109/tlt.2025.3637864","title":"AI-Driven Learning Analytics for Applied Behavior Analysis Therapy","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Learning Technologies","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":1,"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":"Learning analytics; Intervention (counseling); Applied behavior analysis; Autism spectrum disorder; Analytics; Autism; Predictive analytics; Personalized learning","score_opus":0.037226740018365546,"score_gpt":0.3364502111623157,"score_spread":0.29922347114395015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416750071","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":[0.018328514,0.001436025,0.94701505,0.0021876644,0.00022524217,0.0010765336,0.0013965366,0.018567353,0.00976713],"genre_scores_gemma":[0.26809445,0.0015843015,0.720506,0.0009968192,0.00013225012,0.0023674504,0.0021234632,0.00054062606,0.0036545598],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99850214,0.00057890714,0.00015691976,0.00023923366,0.00047442544,0.00004837972],"domain_scores_gemma":[0.9934428,0.0047060326,0.00035982527,0.00047716266,0.0008013698,0.00021287166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026788537,0.0011424109,0.00057882856,0.0014378985,0.00039625925,0.0020771974,0.0014110603,0.00073091564,0.0062408214],"category_scores_gemma":[0.010691327,0.00035439985,0.0008005564,0.0008718499,0.0004750073,0.0011735578,0.0016197622,0.0018540765,0.0018290501],"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":[0.0005632419,0.0012266057,0.010166791,0.001207274,0.00027427176,0.00036585875,0.001573247,0.0788549,0.012709719,0.019786745,0.022434635,0.8508367],"study_design_scores_gemma":[0.00017438456,0.00052597595,0.0057857526,0.00067748915,0.00011437695,0.00026001965,0.00048817263,0.85194063,0.014518148,0.064538576,0.060853884,0.00012262935],"about_ca_topic_score_codex":0.0029854109,"about_ca_topic_score_gemma":0.0031820692,"teacher_disagreement_score":0.0062408214,"about_ca_system_score_codex":0.0011714638,"about_ca_system_score_gemma":0.0019562813,"threshold_uncertainty_score":0.0208776},"labels":[],"label_agreement":null},{"id":"W4416922381","doi":"10.1109/tlt.2025.3639317","title":"Guest Editorial: Special Issue Intelligence Augmentation and the Future of Education: Transforming Learning Landscapes Across Modalities and Lifecycles","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Learning Technologies","topic":"Cognitive Abilities and Testing","field":"Psychology","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":"Institute for Christian Studies; University of Toronto","funders":"","keywords":"Modalities; Modality (human–computer interaction); Context (archaeology); Visualization; Computer aided instruction; Electronic learning","score_opus":0.011048533184921962,"score_gpt":0.31227159416691347,"score_spread":0.30122306098199153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416922381","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006783489,0.002865082,0.00012936413,0.022906428,0.9728194,0.000015402102,0.00004925811,0.000042877236,0.0011044337],"genre_scores_gemma":[0.00066090317,0.0021926835,0.000080779944,0.010972492,0.9805017,0.000016998214,0.000021173893,0.000022970919,0.0055302633],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99687684,0.00042841106,0.00035044242,0.00063943275,0.0013468645,0.00035791533],"domain_scores_gemma":[0.98652345,0.0048625274,0.0010132763,0.00037380352,0.005238561,0.0019883325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004173743,0.0032478925,0.0028561878,0.0024913396,0.0019895155,0.008126365,0.0027820067,0.016129913,0.021835502],"category_scores_gemma":[0.01629144,0.0011281526,0.002582617,0.001022853,0.0019434394,0.0032263633,0.0015248909,0.017276926,0.010091206],"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":[0.000085275766,0.000027379363,0.00006228831,0.00025141265,0.000025469046,0.00019158707,0.000011296529,0.000030314057,0.000117280695,0.0003369586,0.9930616,0.005799187],"study_design_scores_gemma":[0.000108186694,0.0000820037,0.00066320307,0.00052750926,0.000100449855,0.0005045296,0.00006746972,0.00030134077,0.00034272482,0.0011297786,0.99614006,0.000032769607],"about_ca_topic_score_codex":0.0010566522,"about_ca_topic_score_gemma":0.0029075285,"teacher_disagreement_score":0.021835502,"about_ca_system_score_codex":0.0019856687,"about_ca_system_score_gemma":0.0022279837,"threshold_uncertainty_score":0.07304704},"labels":[],"label_agreement":null}]}