{"id":"W1970535376","doi":"10.1007/s10479-008-0419-x","title":"An XML-based schema for stochastic programs","year":2008,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Schema (genetic algorithms); XML; Theory of computation; XML Schema (W3C); Programming language; XML Schema Editor; Document Structure Description; Theoretical computer science; Document type definition; Information retrieval; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000450055,0.00006529947,0.0001082134,0.0001540055,0.0002088009,0.00004899219,0.0001361813,0.00004826057,0.00005233766],"category_scores_gemma":[0.0002410135,0.00006141965,0.00004252616,0.0003264459,0.00009817407,0.0001588285,0.000009457076,0.0001062771,0.00001719855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009881555,"about_ca_system_score_gemma":0.00006772629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001022244,"about_ca_topic_score_gemma":0.00001624527,"domain_scores_codex":[0.9991602,0.00003176638,0.0001892205,0.0001067109,0.0002494077,0.0002626516],"domain_scores_gemma":[0.9989449,0.00008934853,0.000005026284,0.000212529,0.0006376377,0.0001105979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001289999,0.000373471,0.00001134866,0.0001529098,0.00002188373,0.000001133832,0.00040791,0.9766981,0.002645115,0.008456768,0.001327258,0.00989123],"study_design_scores_gemma":[0.0001874289,0.0002165527,0.00000958826,0.00002462473,0.00000166789,0.000001325449,0.00007415874,0.988638,0.009761803,0.0001710287,0.0008394723,0.00007429734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1028817,0.0001431068,0.8939166,0.000716781,0.00003537333,0.001136451,0.00001198827,0.0002006903,0.0009573149],"genre_scores_gemma":[0.9426778,0.00001582262,0.05670865,0.00002276342,0.00003405952,0.0002949809,0.00005124522,0.00002274053,0.0001719105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8397961,"threshold_uncertainty_score":0.2504621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3896662908511025,"score_gpt":0.4696817014263729,"score_spread":0.08001541057527045,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}