{"id":"W2293445795","doi":"10.1007/978-3-319-25040-3_62","title":"Computing Boundaries in Local Mixture Models","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Regular polygon; Polytope; Parameter space; Space (punctuation); Algorithm; Mathematical optimization; Theoretical computer science; Geometry; Mathematics","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":[0.004329084,0.001295131,0.00273539,0.002132185,0.001091131,0.003561573,0.003523206,0.003086478,0.004675108],"category_scores_gemma":[0.02889723,0.002098805,0.001542062,0.001905512,0.002107157,0.006924928,0.006001052,0.004961743,0.002195963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515118,"about_ca_system_score_gemma":0.0007815991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003504398,"about_ca_topic_score_gemma":0.002982398,"domain_scores_codex":[0.9976333,0.0009935339,0.0001241276,0.0004409783,0.0006531504,0.0001547722],"domain_scores_gemma":[0.9869906,0.01060812,0.0003911212,0.0008591788,0.0008086581,0.000342348],"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":[0.0004999857,0.0001056517,0.001510931,0.0004880892,0.0001255243,0.0001510405,0.0006194257,0.4156117,0.005903239,0.2099328,0.007108368,0.3579431],"study_design_scores_gemma":[0.00001286599,0.00001887867,0.0001271951,0.00004810991,0.00001748595,0.00003748619,0.00003726026,0.8461918,0.001916136,0.1495654,0.002009793,0.00001766795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004647867,0.0005848773,0.9927804,0.00008835091,0.00002718726,0.00001679839,0.00003123171,0.0005820365,0.001241278],"genre_scores_gemma":[0.1147756,0.0007979245,0.8784745,0.0001566815,0.00009318771,0.0001763813,0.0005653471,0.001246186,0.003714025],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004675108,"threshold_uncertainty_score":0.02289468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03290359949436624,"score_gpt":0.278109366348503,"score_spread":0.2452057668541368,"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."}}