{"meta":{"query_hash":"dfc7eb053fdf","filters":{"venue":"Systems and Soft Computing"},"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/dfc7eb053fdf","api":"https://metacan.xera.ac/api/v1/cohort?venue=Systems+and+Soft+Computing"},"results":[{"id":"W4385605522","doi":"10.1016/j.sasc.2023.200058","title":"Multiple operation theatre scheduling for mitigating the disturbance caused by emergency patients","year":2023,"lang":"en","type":"article","venue":"Systems and Soft Computing","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metaheuristic; Particle swarm optimization; Elective surgery; Heuristics; Disturbance (geology); Computer science; Scheduling (production processes); Ant colony optimization algorithms; Operations research; Mathematical optimization; Job shop scheduling; Operations management; Medicine; Medical emergency; Engineering; Surgery; Algorithm; Mathematics; Schedule","score_opus":0.04596378452346318,"score_gpt":0.36564477509672566,"score_spread":0.3196809905732625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385605522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8915996,0.00039528555,0.102956735,0.0010109735,0.0017944433,0.0018839863,0.00006193092,0.00017700352,0.000120040204],"genre_scores_gemma":[0.9973926,0.000035693593,0.0010433629,0.00012043888,0.00045884377,0.00017556292,0.00030551283,0.00002853867,0.00043945527],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821246,0.00033674898,0.0006473092,0.00027053274,0.00015184327,0.00038112162],"domain_scores_gemma":[0.9985801,0.0006838293,0.00020657084,0.00016048779,0.00029434302,0.00007467211],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012529689,0.00012771369,0.0001904431,0.000038587623,0.0037747112,0.000055330267,0.000085458465,0.00011652548,0.000004232981],"category_scores_gemma":[0.00044709048,0.000091297035,0.00003437266,0.00022697206,0.000017189259,0.000104800805,0.00005497659,0.00023048569,0.000014588618],"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":[0.00001478693,0.000041778138,0.8206044,0.0012855695,0.000046438985,4.0599886e-7,0.022163294,0.13283846,0.0005629897,0.0019193493,0.009092122,0.011430455],"study_design_scores_gemma":[0.0005633385,0.000031126532,0.010417703,0.0002608195,0.0000071041213,1.2521318e-7,0.0055573517,0.9803303,0.0000040131345,0.000019803665,0.0026844796,0.00012381938],"about_ca_topic_score_codex":0.0004756429,"about_ca_topic_score_gemma":0.00006769885,"teacher_disagreement_score":0.84749186,"about_ca_system_score_codex":0.000050146355,"about_ca_system_score_gemma":0.0000761953,"threshold_uncertainty_score":0.99752223},"labels":[],"label_agreement":null}]}