{"meta":{"query_hash":"d8f484fa7e2a","filters":{"venue":"Global Science Journal of Information Technology and Computer Science"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/d8f484fa7e2a","api":"https://metacan.xera.ac/api/v1/cohort?venue=Global+Science+Journal+of+Information+Technology+and+Computer+Science"},"results":[{"id":"W7155097387","doi":"10.70062/globalscience.v1i4.194","title":"Context Sensitive Artificial Intelligence for Dynamic User Behavior Modeling in Next Generation Smart Information Platforms","year":2025,"lang":"","type":"article","venue":"Global Science Journal of Information Technology and Computer Science","topic":"Personal Information Management and User Behavior","field":"Decision 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":"Kootenay Association for Science & Technology","funders":"","keywords":"Context (archaeology); Discoverability; Context model; Context awareness; Contextual design; User modeling; Key (lock); Reinforcement learning","score_opus":0.1088431362706944,"score_gpt":0.37373521998198195,"score_spread":0.26489208371128753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7155097387","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45850837,0.00004703384,0.53820646,0.0010340867,0.0015624248,0.00052321336,0.000017534767,0.00001875879,0.000082144696],"genre_scores_gemma":[0.9737691,0.00009160311,0.024997871,0.0010744618,0.00003091983,0.000021583148,0.000005601159,0.0000017583235,0.000007049832],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99354804,0.000024684468,0.0032761947,0.00038323278,0.0019868116,0.0007810187],"domain_scores_gemma":[0.99313,0.00009581899,0.0016520194,0.0004143639,0.0044906707,0.00021710042],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0093079265,0.00033275638,0.000510414,0.007105705,0.0014773947,0.003626169,0.0025153286,0.0002809964,0.00000948908],"category_scores_gemma":[0.0010998977,0.0002810255,0.00013433969,0.012613554,0.0025973648,0.04559055,0.0008581449,0.00045593586,0.000036502155],"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":[0.00009366216,0.000054537722,0.0013064737,0.000016856284,0.0000066563107,0.0000016376094,0.0013514913,0.008542444,0.00013859563,0.16286957,0.000054446184,0.8255636],"study_design_scores_gemma":[0.00045360788,0.0003539788,0.0042125015,0.00016392452,0.00003634731,0.00008584775,0.009854827,0.9623336,0.0011834552,0.020647066,0.00039362133,0.00028121617],"about_ca_topic_score_codex":0.00002429044,"about_ca_topic_score_gemma":0.000052460557,"teacher_disagreement_score":0.95379114,"about_ca_system_score_codex":0.0009055626,"about_ca_system_score_gemma":0.0021265722,"threshold_uncertainty_score":0.9999642},"labels":[],"label_agreement":null}]}