{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"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":"2d1e35195c6f","filters":{"venue":"International Conference on Global Software Engineering"}},"results":[{"id":"W2966303075","doi":"10.1109/icgse.2019.00012","title":"Social media analysis for traffic management","year":2019,"lang":"en","type":"article","venue":"International Conference on Global Software Engineering","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Social media; Context (archaeology); Data collection; Traffic flow (computer networking); Data science; Queue; Data extraction; World Wide Web; Computer network","authors":[{"name":"Mohammad Noaeen","is_ca":true},{"name":"Behrouz H. Far","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0170204812654328,"gpt":0.2508787414171457,"spread":0.2338582601517129,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003088915,0.0007414674,0.0003006591,0.01043911,0.00118303,0.002887933,0.0004753305,0.0005623654,0.00564353],"category_scores_gemma":[0.01059265,0.0001940096,0.0006558613,0.00706225,0.0005681986,0.002617112,0.0009948313,0.0007656658,0.001642527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269103,"about_ca_system_score_gemma":0.001128627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006831476,"about_ca_topic_score_gemma":0.008091127,"domain_scores_codex":[0.9971735,0.001580489,0.0001775548,0.000247348,0.0007106967,0.0001102822],"domain_scores_gemma":[0.990836,0.005823032,0.0009622175,0.0007739909,0.001415243,0.0001894815],"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":[0.0003060933,0.0004980323,0.05738325,0.001340395,0.0003726486,0.000662205,0.004534919,0.01178104,0.007754097,0.0641505,0.04225087,0.8089659],"study_design_scores_gemma":[0.00006548497,0.000435548,0.1297707,0.001796634,0.0003054802,0.0008926632,0.02416543,0.3308246,0.01389328,0.159591,0.3379582,0.0003009219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.296126,0.01363176,0.4796761,0.01437029,0.001955008,0.00337596,0.0465111,0.005521812,0.138832],"genre_scores_gemma":[0.7905463,0.003524983,0.1842211,0.0004948407,0.0009473702,0.001374193,0.008122556,0.0002192615,0.0105493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01043911,"threshold_uncertainty_score":0.01887947,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}