{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"a2db2228a2ce","filters":{"venue":"2022 IEEE International Conference on Data Mining (ICDM)"}},"results":[{"id":"W4318828902","doi":"10.1109/icdm54844.2022.00046","title":"Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Data Mining (ICDM)","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Link (geometry); Perspective (graphical); Margin (machine learning); Theoretical computer science; Representation (politics); Graph; Artificial intelligence; Linkage (software); Aggregate (composite); Machine learning; Node (physics); Dependency (UML); Relation (database); Data mining","authors":[{"name":"Anasua Mitra","is_ca":false},{"name":"Priyesh Vijayan","is_ca":false},{"name":"Sanasam Ranbir Singh","is_ca":false},{"name":"Diganta Goswami","is_ca":false},{"name":"Srinivasan Parthasarathy","is_ca":true},{"name":"Balaraman Ravindran","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1142659217497507,"gpt":0.3509309027107834,"spread":0.2366649809610327,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003745465,0.0002370258,0.0002522595,0.0002383778,0.0003511485,0.000154829,0.001150659,0.00002179942,0.00309958],"category_scores_gemma":[0.00001958505,0.0002331919,0.00009499288,0.0002816647,0.00004951525,0.0001915481,0.0004640975,0.000487717,0.00002031131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001866044,"about_ca_system_score_gemma":0.00009028974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002140813,"about_ca_topic_score_gemma":0.00002271208,"domain_scores_codex":[0.997883,0.0001598101,0.0003292921,0.0007660287,0.0006333844,0.000228508],"domain_scores_gemma":[0.9985629,0.0001041179,0.0002965229,0.0007702609,0.0002006915,0.00006549279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002289408,0.002352435,0.05753765,0.00004810679,0.005715624,0.000263469,0.004860092,0.025729,0.003162662,0.4227794,0.02869865,0.4465635],"study_design_scores_gemma":[0.002790996,0.001424799,0.001539968,0.0007110577,0.0003307677,0.00005310151,0.007415586,0.9520836,0.0008255924,0.005803618,0.02576645,0.00125448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7448757,0.0004549163,0.1018459,0.00992134,0.003275781,0.002898175,0.01928445,0.001328384,0.1161153],"genre_scores_gemma":[0.9941995,0.00002149811,0.002202617,0.0001899562,0.0005191491,0.0001724045,0.002202206,0.00003123602,0.0004614709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9263546,"threshold_uncertainty_score":0.9978117,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4318824050","doi":"10.1109/icdm54844.2022.00125","title":"Set2Box: Similarity Preserving Representation Learning for Sets","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Data Mining (ICDM)","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Similarity (geometry); Computer science; ENCODE; Set (abstract data type); Representation (politics); Source code; Code (set theory); Theoretical computer science; Data mining; Artificial intelligence; Algorithm; Programming language","authors":[{"name":"Geon Lee","is_ca":true},{"name":"Chanyoung Park","is_ca":false},{"name":"Kijung Shin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2345270794719642,"gpt":0.419734007872125,"spread":0.1852069284001608,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001162557,0.0002084158,0.0001996776,0.0002626916,0.0008299335,0.000443574,0.005304681,0.00005041321,0.0007644573],"category_scores_gemma":[0.0009017986,0.000247276,0.00006988025,0.0003858184,0.0000377272,0.000875972,0.002708214,0.0007075078,0.00003996925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001724567,"about_ca_system_score_gemma":0.000174615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003410012,"about_ca_topic_score_gemma":0.00003605399,"domain_scores_codex":[0.9968761,0.0003094678,0.0004206333,0.001144806,0.0009270507,0.0003220086],"domain_scores_gemma":[0.9970747,0.0006660201,0.0003734902,0.00156319,0.0002241551,0.00009839324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007642226,0.001319449,0.04638805,0.0001107018,0.0006750496,0.00008062921,0.009402017,0.2550268,0.02142239,0.2844718,0.146972,0.2333668],"study_design_scores_gemma":[0.0006503809,0.00013043,0.003357378,0.0000193935,0.00001119621,0.00001718937,0.0004850974,0.9758323,0.0002109704,0.002052914,0.01697196,0.0002607311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2597801,0.0000512461,0.6618473,0.03773794,0.004949186,0.002035511,0.001985378,0.001226248,0.03038709],"genre_scores_gemma":[0.9542998,0.00001149059,0.04047726,0.0005422648,0.0001731821,0.00054308,0.002590782,0.00002840818,0.001333707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7208055,"threshold_uncertainty_score":0.999998,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4320060454","doi":"10.1109/icdm54844.2022.00144","title":"Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Data Mining (ICDM)","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Point of interest; Trajectory; Tracing; Artificial intelligence; Mobile device; Popularity; Feature extraction; Code (set theory); Feature (linguistics); Data mining; Computer vision; Real-time computing; World Wide Web","authors":[{"name":"Dongmin Park","is_ca":true},{"name":"Jun-Hyeok Kang","is_ca":true},{"name":"Hwanjun Song","is_ca":false},{"name":"Susik Yoon","is_ca":false},{"name":"Jae-Gil Lee","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1801307580095285,"gpt":0.3642662670140925,"spread":0.184135509004564,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007855403,0.0001383006,0.0002433593,0.0002345473,0.0006368995,0.0001703075,0.0008956076,0.00004718507,0.002380319],"category_scores_gemma":[0.000720585,0.00015964,0.000135307,0.0002257364,0.000162292,0.0005826993,0.0001081003,0.0001884868,0.000008578934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002717218,"about_ca_system_score_gemma":0.0005265019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037107,"about_ca_topic_score_gemma":0.002211002,"domain_scores_codex":[0.998062,0.0002117642,0.0004369088,0.0004816972,0.0006103163,0.0001973228],"domain_scores_gemma":[0.9985185,0.0004385113,0.0003254747,0.0003906132,0.0002379169,0.00008902947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001267986,0.004009973,0.08180589,0.0003738472,0.002024937,0.00003651075,0.03548362,0.005236502,0.01323667,0.03487448,0.006338964,0.8153106],"study_design_scores_gemma":[0.01357294,0.002292071,0.01804941,0.001329775,0.001317087,0.00003635104,0.2252825,0.6733469,0.00213775,0.006859125,0.05218254,0.003593471],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419317,0.0001795902,0.03286411,0.0009575801,0.002927377,0.0008273837,0.01492853,0.0001403884,0.00524334],"genre_scores_gemma":[0.9964221,0.00004421983,0.0002806187,0.00007531719,0.0002161459,0.0001126571,0.002009663,0.00001281022,0.0008265011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8117172,"threshold_uncertainty_score":0.9985316,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4318823726","doi":"10.1109/icdm54844.2022.00138","title":"Augmenting Knowledge Transfer across Graphs","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Data Mining (ICDM)","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Theoretical computer science; Knowledge transfer; Domain adaptation; Graph; Generalization; Artificial intelligence; Machine learning; Mathematics","authors":[{"name":"Yuzhen Mao","is_ca":true},{"name":"Jianhui Sun","is_ca":false},{"name":"Dawei Zhou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1724617119252182,"gpt":0.3772470365632951,"spread":0.2047853246380769,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0007388022,0.0002771067,0.0002329686,0.0002252109,0.0006551367,0.0003747373,0.00674664,0.00004925401,0.0006417844],"category_scores_gemma":[0.00006002769,0.0003033298,0.00009773307,0.0006804098,0.00009163163,0.00120207,0.002453108,0.0006757251,0.00006107386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001148462,"about_ca_system_score_gemma":0.0001096787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000162649,"about_ca_topic_score_gemma":0.00005780343,"domain_scores_codex":[0.9967779,0.0001768719,0.00045682,0.001164087,0.0008889678,0.0005353548],"domain_scores_gemma":[0.9979224,0.0002349641,0.0001346867,0.001450129,0.0001342157,0.0001235674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004160343,0.001054104,0.002499846,0.00003517899,0.000491682,0.0004667238,0.009527428,0.006390358,0.01292486,0.4883462,0.0609255,0.4169221],"study_design_scores_gemma":[0.002255467,0.0004248944,0.0007224905,0.0001155771,0.0000213243,0.0001507524,0.001671313,0.916895,0.001365863,0.008474668,0.06679709,0.001105572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.48248,0.000455064,0.4476628,0.006451412,0.0238656,0.0009652626,0.003177964,0.001153245,0.03378868],"genre_scores_gemma":[0.9917869,0.00005967201,0.0049482,0.0007345853,0.0001838974,0.000109998,0.0005073946,0.00002876179,0.001640606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9105046,"threshold_uncertainty_score":0.9999419,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}