{"id":"W2004043429","doi":"10.1002/cjce.20657","title":"Sample‐based approaches to decision making problems under uncertainty","year":2011,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Stochastic programming; Sample (material); Process (computing); Point (geometry); Mathematical optimization; Industrial engineering; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001741657,0.00011115,0.0001217076,0.0001657527,0.00003585475,0.00004709832,0.0002468905,0.00006298754,0.00007819391],"category_scores_gemma":[0.000188007,0.00008388149,0.00005283616,0.0002298815,0.00001712458,0.0001006072,0.000005350051,0.0002328053,0.000003781961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002199917,"about_ca_system_score_gemma":0.0001196923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000158945,"about_ca_topic_score_gemma":0.0002703907,"domain_scores_codex":[0.9993593,0.00000471294,0.0002481908,0.00005975613,0.0001194366,0.0002086674],"domain_scores_gemma":[0.9994701,0.00007121444,0.00003367897,0.0001049116,0.00006385663,0.0002561978],"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":[0.000004995938,0.000002165132,0.00001802857,0.00001566696,0.00001386896,0.000001312151,0.0003805609,0.9954504,0.0011303,0.001088857,0.0001368604,0.001756962],"study_design_scores_gemma":[0.0001438992,0.0000182956,0.00006294905,0.0001999953,0.00001366241,0.00001912805,0.00002386823,0.9825473,0.01527764,0.0009203177,0.0006195037,0.0001534807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06081169,0.0001658314,0.9379045,0.0001830409,0.0002399122,0.0001074088,0.000005150061,0.00004752051,0.0005349239],"genre_scores_gemma":[0.9719214,7.539518e-7,0.02785835,0.0001193847,0.00006728272,0.000005021,0.000001612927,0.00002446449,0.000001753995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9111097,"threshold_uncertainty_score":0.3420588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07011564023642095,"score_gpt":0.2066228245113491,"score_spread":0.1365071842749282,"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."}}