{"id":"W4213236049","doi":"10.1287/ijoo.2021.0070","title":"Satisficing Models Under Uncertainty","year":2022,"lang":"en","type":"article","venue":"INFORMS Journal on Optimization","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Satisficing; Mathematical optimization; Probabilistic logic; Mathematics; Representation (politics); Optimization problem; Decision problem; Function (biology); Probability distribution; Computer science; Algorithm; Artificial intelligence; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006821154,0.00157289,0.002155276,0.001254243,0.0008596088,0.004472826,0.002216916,0.00266694,0.004871276],"category_scores_gemma":[0.0239553,0.000805228,0.001885285,0.0015413,0.002766596,0.005261214,0.002416284,0.003361981,0.0004178755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002978742,"about_ca_system_score_gemma":0.001658015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003969041,"about_ca_topic_score_gemma":0.002429314,"domain_scores_codex":[0.9936333,0.002938988,0.0003154364,0.00109689,0.001346904,0.0006684479],"domain_scores_gemma":[0.9844976,0.01141733,0.001792923,0.0008139667,0.0009227169,0.0005554022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007179846,0.00004620593,0.0005976826,0.0001161043,0.00006635681,0.0001411599,0.0001565009,0.5819693,0.0004556696,0.4060652,0.001209373,0.009104589],"study_design_scores_gemma":[0.00001582535,0.00003611579,0.0001291597,0.00002396755,0.00001322236,0.0000339815,0.00003174824,0.7845157,0.0001713334,0.2142714,0.0007442538,0.00001328152],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03980537,0.001013758,0.9452987,0.001770716,0.00005924961,0.00007649173,0.000293888,0.0001870144,0.01149476],"genre_scores_gemma":[0.893135,0.001327472,0.09850643,0.0004259998,0.0002128325,0.0002382502,0.0004286039,0.0001035442,0.005621934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006821154,"threshold_uncertainty_score":0.03607416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08734465264683301,"score_gpt":0.3467790294499677,"score_spread":0.2594343768031347,"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."}}