{"id":"W7015090426","doi":"","title":"Sequential Bayesian Optimal Experimental Design.","year":2017,"lang":"en","type":"other","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Advanced Scientific Computing Research; Natural Sciences and Engineering Research Council of Canada; Air Force Office of Scientific Research; Defense Advanced Research Projects Agency; King Abdullah University of Science and Technology; U.S. Department of Energy; Office of Science; Advanced Research Projects Agency; National Science Foundation","keywords":"","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0425378,0.002638786,0.004005053,0.001605322,0.0007746569,0.001508696,0.002959205,0.002646731,0.04171294],"category_scores_gemma":[0.07749448,0.002010907,0.001776503,0.00167988,0.00209882,0.00175674,0.002065858,0.002659881,0.006186246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164405,"about_ca_system_score_gemma":0.004475902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001907848,"about_ca_topic_score_gemma":0.002915839,"domain_scores_codex":[0.9780733,0.01641624,0.0006759088,0.002274727,0.001989845,0.0005700465],"domain_scores_gemma":[0.9688491,0.0217604,0.002087273,0.004951249,0.001588921,0.0007631754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.04618622,0.003229744,0.003670119,0.006968683,0.003157877,0.0001678318,0.0002829523,0.08356635,0.0119918,0.1581049,0.0459418,0.6367317],"study_design_scores_gemma":[0.01982853,0.01055568,0.007944621,0.00111935,0.003249652,0.0002949479,0.00007990016,0.3907163,0.01185649,0.5051135,0.04898055,0.0002604379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0107486,0.001366493,0.9514015,0.0008193208,0.0007610369,0.01426581,0.003556416,0.001736564,0.01534428],"genre_scores_gemma":[0.1377041,0.0009886592,0.8136862,0.0005489211,0.0002821831,0.0325512,0.002139169,0.0003133953,0.01178626],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0425378,"threshold_uncertainty_score":0.2249641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189890530815284,"score_gpt":0.2664023133981571,"score_spread":0.2445034080900042,"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."}}