{"meta":{"query_hash":"56a02940d2ee","filters":{"venue":"SUMO Conference Proceedings"},"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/56a02940d2ee","api":"https://metacan.xera.ac/api/v1/cohort?venue=SUMO+Conference+Proceedings"},"results":[{"id":"W4297983533","doi":"10.52825/scp.v3i.158","title":"Signal priority for improving fluidity and decreasing fuel consumption","year":2022,"lang":"en","type":"article","venue":"SUMO Conference Proceedings","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation and Economic Development Trois Rivières; Université Laval","funders":"","keywords":"Computer science; Fuel efficiency; SIGNAL (programming language); Acceleration; Signal timing; Duty cycle; Traffic congestion; Real-time computing; Simulation; Traffic signal; Automotive engineering; Transport engineering; Engineering; Voltage; Electrical engineering","score_opus":0.04082086729272891,"score_gpt":0.294706923773616,"score_spread":0.25388605648088713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297983533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51810426,0.00068448705,0.43470937,0.0010787075,0.00033261217,0.00022692466,0.00045740197,0.00135871,0.043047525],"genre_scores_gemma":[0.97581756,0.00015389184,0.020631865,0.000091130176,0.000017518549,0.00006910277,0.00009550998,0.00008226066,0.0030409729],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999726,0.000050833318,0.0000073398955,0.000041925032,0.00006166573,0.000112250185],"domain_scores_gemma":[0.9996637,0.00010786409,0.000057497506,0.000032859,0.00006280302,0.00007538836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032373605,0.0007710246,0.00046759384,0.00054765516,0.000557942,0.0012511725,0.0007796008,0.000885092,0.006231318],"category_scores_gemma":[0.0016903976,0.00028000987,0.0006241079,0.00033206912,0.00084801286,0.0015260006,0.0010492856,0.00075674866,0.0004979959],"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":[0.00014226719,0.00014364207,0.0011012722,0.00006955105,0.000023452907,0.000108020904,0.00006214345,0.9598404,0.010097707,0.018099943,0.0013292192,0.008982413],"study_design_scores_gemma":[0.000059543563,0.00014564522,0.00040734376,0.00000999973,0.000018088704,0.000031846426,0.000048133978,0.9897404,0.0028484925,0.004257185,0.0024150047,0.000018270082],"about_ca_topic_score_codex":0.007070521,"about_ca_topic_score_gemma":0.004692209,"teacher_disagreement_score":0.007070521,"about_ca_system_score_codex":0.0006950463,"about_ca_system_score_gemma":0.0014912041,"threshold_uncertainty_score":0.02084583},"labels":[],"label_agreement":null}]}