{"id":"W4245370098","doi":"10.1007/978-0-387-39940-9_3684","title":"Statistical Decision Techniques","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008064883,0.0005147332,0.001246827,0.000194317,0.00005796642,0.00001904713,0.0003470014,0.0003794931,0.0002941673],"category_scores_gemma":[0.001670103,0.0004392653,0.0001319377,0.00003436882,0.0001422717,0.0001248068,0.0001553232,0.0005139766,0.00004880088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007609586,"about_ca_system_score_gemma":0.0001136652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002068822,"about_ca_topic_score_gemma":0.000007517915,"domain_scores_codex":[0.9968469,0.00008689421,0.001318044,0.0006282037,0.0007912343,0.0003287982],"domain_scores_gemma":[0.9943249,0.003486729,0.0006307306,0.001108841,0.0002209561,0.0002277996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003388529,0.00004030349,4.198576e-7,0.0004790075,0.00003055458,0.00008527296,0.00001712305,6.391508e-7,0.00001461724,0.8192146,0.02743774,0.1526458],"study_design_scores_gemma":[0.0001231241,0.0001265107,7.252135e-7,0.001400133,0.0001189052,0.0000196628,0.000006303057,0.00006279704,0.00001910306,0.5619758,0.4358089,0.0003380618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[8.76503e-7,0.0004455889,0.5578985,0.000005052378,0.000278911,0.0005342082,0.004282249,0.0000896739,0.4364649],"genre_scores_gemma":[0.00002289869,0.001781385,0.8227521,0.00001611659,0.0004371956,0.00003082784,0.0004132854,0.0001066523,0.1744395],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4083712,"threshold_uncertainty_score":0.9998059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0700597266723988,"score_gpt":0.3894631970243293,"score_spread":0.3194034703519305,"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."}}