{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"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":"6c5eb395fc6b","filters":{"venue":"CICTP 2021"}},"results":[{"id":"W4200125464","doi":"10.1061/9780784483565.081","title":"The Thermoelectric Effect and High-Temperature Characteristics of Carbon Nanotubes Modified Asphalt Concrete","year":2021,"lang":"en","type":"article","venue":"CICTP 2021","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Carbon nanotube; Materials science; Thermoelectric effect; Asphalt; Asphalt concrete; Composite material; Carbon fibers; Engineering physics; Engineering; Thermodynamics","authors":[{"name":"Yuhao Liu","is_ca":true},{"name":"Hui Liao","is_ca":true},{"name":"Fang Zhou","is_ca":true},{"name":"Xiaoming Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003294254653913406,"gpt":0.1835129903298741,"spread":0.1802187356759607,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001194378,0.0002921088,0.0001073095,0.000369729,0.00009539608,0.00009736262,0.0001170614,0.0002229667,0.0009053797],"category_scores_gemma":[0.0002102059,0.0001193803,0.0001953028,0.0002694452,0.0001827107,0.0001836413,0.00009195968,0.0002634078,0.0001368693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001610561,"about_ca_system_score_gemma":0.0000545164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007678524,"about_ca_topic_score_gemma":0.001689055,"domain_scores_codex":[0.9998809,0.00001296585,0.000009304828,0.00002094705,0.00005767994,0.0000181529],"domain_scores_gemma":[0.999809,0.00003667429,0.00006322322,0.000014166,0.00005082881,0.00002623762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000470773,0.00001039023,0.0003253363,0.00002180093,0.000003914892,0.00003969062,0.00002212816,0.0004328546,0.9979926,0.0000254129,0.00001411724,0.00106465],"study_design_scores_gemma":[0.00000227628,0.0001711957,0.006511596,0.000003011908,0.000007977074,0.00006139901,0.00001926777,0.001544351,0.9914004,0.00001114248,0.0002599318,0.000007678263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983156,0.0003053817,0.0007803792,0.00001058103,0.00001056756,0.000004759395,0.00007111095,0.00001824276,0.0004834709],"genre_scores_gemma":[0.9986198,0.0001558563,0.0004814866,0.000004702293,0.000002183875,0.000003748781,0.00004412952,0.000003872334,0.0006842933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009053797,"threshold_uncertainty_score":0.00302875,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200281499","doi":"10.1061/9780784483565.007","title":"Parameter Calibration of Traffic Flow Speed-Density Model Based on K-means Clustering Algorithm and Least Square Method","year":2021,"lang":"en","type":"article","venue":"CICTP 2021","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Cluster analysis; Computer science; Calibration; Traffic flow (computer networking); Algorithm; Data set; Sample (material); Data mining; Set (abstract data type); Flow (mathematics); Statistics; Mathematics; Artificial intelligence","authors":[{"name":"Gang Ren","is_ca":false},{"name":"Sai Zhu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01376546939413584,"gpt":0.2343600150302314,"spread":0.2205945456360956,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001533332,0.000856668,0.0007859438,0.00138922,0.0006439946,0.00103547,0.001266982,0.0009675426,0.0006818089],"category_scores_gemma":[0.00503377,0.0004348419,0.0008289496,0.001373543,0.0004731793,0.001428432,0.0007134243,0.0009428787,0.0003762516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009265066,"about_ca_system_score_gemma":0.001426712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01848279,"about_ca_topic_score_gemma":0.007849748,"domain_scores_codex":[0.998571,0.0003506418,0.00007987705,0.0004008033,0.0004866857,0.0001109837],"domain_scores_gemma":[0.9989057,0.000353061,0.0001050205,0.0001340163,0.0004789719,0.00002329747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008583019,0.00009687049,0.007128217,0.0001071501,0.00006744353,0.00005828052,0.0002277507,0.8923305,0.004020595,0.004668617,0.001296144,0.08991264],"study_design_scores_gemma":[0.000004063728,0.00001752138,0.00134269,0.000005858709,0.00000713548,0.00001951297,0.000034591,0.9956099,0.001479097,0.001104638,0.0003589726,0.00001592523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08703674,0.0001650047,0.9093769,0.0001043797,0.00003722165,0.0001065156,0.0001083372,0.0009439997,0.00212091],"genre_scores_gemma":[0.8352677,0.00020834,0.1622933,0.00003794692,0.00001992482,0.0002005201,0.0004420906,0.0000989941,0.001431335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01848279,"threshold_uncertainty_score":0.03675044,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200587337","doi":"10.1061/9780784483565.049","title":"A Combined Model to Jointly Optimize the Left-Turn Trajectory and Approaching Speed for the Connected and Autonomous Vehicles","year":2021,"lang":"en","type":"article","venue":"CICTP 2021","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Trajectory; Computer science; Control theory (sociology); Constant (computer programming); Ideal (ethics); Simulation; Artificial intelligence; Control (management)","authors":[{"name":"Xiaogao Liu","is_ca":true},{"name":"Keping Li","is_ca":true},{"name":"Runhan Zhang","is_ca":true},{"name":"Can Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.016277791868163,"gpt":0.1995416549828115,"spread":0.1832638631146485,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005133802,0.001099897,0.00100474,0.0007169324,0.0005053294,0.001393212,0.001215949,0.001250667,0.001980362],"category_scores_gemma":[0.0009194962,0.000571748,0.001004489,0.0006538483,0.0004403348,0.0009321594,0.0008313852,0.0009562175,0.0004275275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009131404,"about_ca_system_score_gemma":0.001845336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02303858,"about_ca_topic_score_gemma":0.01614433,"domain_scores_codex":[0.9995757,0.00005665852,0.0000203404,0.0001270538,0.0001269999,0.00009322579],"domain_scores_gemma":[0.9996514,0.00009075578,0.00005125712,0.00002191814,0.0001544091,0.00003022904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001469806,0.00001634912,0.0003509659,0.00001789637,0.00001630223,0.00002281722,0.00001340667,0.9924216,0.0004556974,0.0009474435,0.0002764258,0.005446543],"study_design_scores_gemma":[0.000002772012,0.00001351359,0.00007993526,0.000002169762,0.000008458824,0.00000433076,0.000003945192,0.9993254,0.00009762355,0.000278927,0.0001804032,0.000002576791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0528517,0.0005671881,0.9348433,0.0002439036,0.0001302844,0.00008235191,0.0002158928,0.0004447854,0.01062069],"genre_scores_gemma":[0.9605123,0.0003116999,0.03151485,0.00007880646,0.00004929904,0.0002073213,0.0003327607,0.00006600704,0.006926951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02303858,"threshold_uncertainty_score":0.04580891,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}