{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"575149f7cb65","filters":{"venue":"ICCK Transactions on Intelligent Systematics"}},"results":[{"id":"W4405803752","doi":"10.62762/tis.2025.367320","title":"Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis","year":2024,"lang":"en","type":"article","venue":"ICCK Transactions on Intelligent Systematics","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":10,"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":"Health records; Diabetes mellitus; Electronic health record; Medical record; Medicine; Data science; Computer science; Political science; Health care; Internal medicine","authors":[{"name":"Li Zhou","is_ca":true},{"name":"Yiping Dong","is_ca":false},{"name":"Dian Gu","is_ca":false},{"name":"Tianyi Lyu","is_ca":false},{"name":"H.-J. Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04407328744874354,"gpt":0.3346700862326227,"spread":0.2905967987838792,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001767434,0.0003008062,0.0004621065,0.0004328963,0.000440842,0.0004221957,0.0009788419,0.000109179,0.00002576204],"category_scores_gemma":[0.0000850513,0.0002646079,0.0001100128,0.0007950139,0.00004456353,0.0003099666,0.00003234032,0.0008666394,0.0001707143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003830897,"about_ca_system_score_gemma":0.0005596554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001799246,"about_ca_topic_score_gemma":0.0004353818,"domain_scores_codex":[0.9965099,0.0008042931,0.0008813079,0.0008363836,0.0003659485,0.0006022348],"domain_scores_gemma":[0.9968536,0.001293951,0.0002184041,0.001308131,0.0001034227,0.0002224339],"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":[0.00002732902,0.001311322,0.01137781,0.08592831,0.00146533,0.00002217511,0.01838968,0.1403622,0.00001984205,0.02515383,0.001768842,0.7141733],"study_design_scores_gemma":[0.00007370641,0.0004042495,0.00004848704,0.002865046,0.00005822192,0.000009443982,0.0001353522,0.992016,0.0002341488,0.0002764584,0.003645013,0.0002338936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006218902,0.005205919,0.9835355,0.001837063,0.001178692,0.001112593,0.0000758321,0.0007617541,0.00007371273],"genre_scores_gemma":[0.973267,0.0008497738,0.0252793,0.0001147858,0.00008219247,0.0001798164,0.00002177833,0.00004907223,0.0001562747],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9670481,"threshold_uncertainty_score":0.9999806,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415600454","doi":"10.62762/tis.2025.874668","title":"DT-NeRF: A Diffusion and Transformer-Based Optimization Approach for Neural Radiance Fields in 3D Reconstruction","year":2025,"lang":"","type":"article","venue":"ICCK Transactions on Intelligent Systematics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":4,"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":"Radiance; Consistency (knowledge bases); Focus (optics); Artificial neural network; Diffusion; 3D reconstruction; Field (mathematics)","authors":[{"name":"Bo Liu","is_ca":false},{"name":"Runlong Li","is_ca":false},{"name":"L. Zhou","is_ca":true},{"name":"Yan Zhou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0187593159432455,"gpt":0.2411374867536278,"spread":0.2223781708103823,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003684666,0.0004494631,0.0007682779,0.0009372596,0.0003081837,0.0001556588,0.0001626867,0.0004356946,0.0000386811],"category_scores_gemma":[0.00003126552,0.0004642942,0.0003303913,0.0008285242,0.00006110493,0.0001726855,0.000001390546,0.0004595585,0.000001997312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002881774,"about_ca_system_score_gemma":0.00006246119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005632581,"about_ca_topic_score_gemma":0.0001027515,"domain_scores_codex":[0.9972978,0.0001351534,0.001411408,0.0005124357,0.0002320345,0.0004111906],"domain_scores_gemma":[0.9989086,0.000324869,0.0001467025,0.0003835301,0.0001268845,0.0001094135],"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":[0.00008173915,0.0002315594,0.00003006891,0.008806078,0.0001826871,5.838789e-7,0.000997443,0.9664505,0.0000436208,0.0000334157,0.000005400348,0.02313688],"study_design_scores_gemma":[0.0008369984,0.0001140496,0.000002740544,0.003071918,0.0005251907,0.000007867947,0.001713486,0.9918662,0.001449879,0.00003614342,0.00000908947,0.0003664413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006580045,0.001146053,0.9887734,0.0002220635,0.001047145,0.001670297,0.00005802955,0.0001069763,0.000396011],"genre_scores_gemma":[0.939493,0.0008200729,0.05879184,0.00005353236,0.0000494905,0.0003831838,0.00002947386,0.00004686218,0.0003325477],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9329129,"threshold_uncertainty_score":0.9997809,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}