{"meta":{"query_hash":"2d1e35195c6f","filters":{"venue":"International Conference on Global Software Engineering"},"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/2d1e35195c6f","api":"https://metacan.xera.ac/api/v1/cohort?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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.0170204812654328,"score_gpt":0.25087874141714567,"score_spread":0.23385826015171288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966303075","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":[0.061898936,0.000024023257,0.9141001,0.00013196675,0.002046453,0.00043527706,0.00019764839,0.007311828,0.013853778],"genre_scores_gemma":[0.9932303,0.00002917691,0.00630434,0.000038067967,0.000101160775,0.000083352,0.00012810357,0.000016864387,0.00006864032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991637,0.0000032218177,0.0001798432,0.00020291658,0.00025381075,0.00019651558],"domain_scores_gemma":[0.9997318,0.000033371667,0.000021909915,0.000112590285,0.000053025244,0.000047351117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000065194035,0.00016380979,0.00016313524,0.0002140502,0.000022112108,0.0000657281,0.00028093212,0.00006512226,0.000110570574],"category_scores_gemma":[0.0000172128,0.00018466405,0.00014922852,0.00026819156,0.0000074722093,0.000098056895,0.0000319889,0.000078184756,0.00004992109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032218228,0.0000474685,0.0010202067,0.000113947965,0.001997971,0.0000067872816,0.00010923621,0.6599684,0.00003356406,0.28099507,0.009779616,0.04589558],"study_design_scores_gemma":[0.00067943503,0.000030230622,0.022791088,0.000051148596,0.00017178488,0.0000012326993,0.00007737961,0.9489746,0.00004854163,0.0002505672,0.02650287,0.0004211218],"about_ca_topic_score_codex":7.7061657e-7,"about_ca_topic_score_gemma":0.000005416237,"teacher_disagreement_score":0.93133134,"about_ca_system_score_codex":0.00019342625,"about_ca_system_score_gemma":0.0000041434882,"threshold_uncertainty_score":0.7530381},"labels":[],"label_agreement":null}]}