{"id":"W2508078670","doi":"10.6000/1929-6029.2016.05.03.1","title":"Constrained Bayesian Method of Composite Hypotheses Testing: Singularities and Capabilities","year":2016,"lang":"en","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shota Rustaveli National Science Foundation; National Science Foundation","keywords":"Bayesian probability; A priori and a posteriori; Simple (philosophy); Composite number; Computer science; Computation; Mathematics; Statistical hypothesis testing; Applied mathematics; Algorithm; Artificial intelligence; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0220868,0.001215703,0.002104043,0.003355344,0.001001844,0.002804371,0.002919075,0.001993787,0.003641891],"category_scores_gemma":[0.08696305,0.0008240776,0.001346671,0.002762979,0.004637466,0.003905059,0.005247297,0.004236493,0.0009315756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136772,"about_ca_system_score_gemma":0.002417337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001708289,"about_ca_topic_score_gemma":0.000833704,"domain_scores_codex":[0.9856851,0.009610136,0.0003911371,0.001097349,0.00296089,0.0002553789],"domain_scores_gemma":[0.9535761,0.03925271,0.001736248,0.002531525,0.002302042,0.0006013598],"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":[0.0001726099,0.00005287012,0.001776769,0.0005738245,0.0001645912,0.0002921758,0.0004435802,0.0549966,0.0018522,0.7768264,0.002741025,0.1601073],"study_design_scores_gemma":[0.00004313016,0.00009357662,0.0005401043,0.0001775622,0.00006235973,0.0004009131,0.00006383241,0.4082075,0.001057494,0.5839531,0.005329569,0.00007083928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001472984,0.0005464702,0.9964073,0.0002388217,0.00003424549,0.00002978658,0.00002234561,0.00006527142,0.001182735],"genre_scores_gemma":[0.1362291,0.001915562,0.8584215,0.0004725782,0.0002833765,0.0005083161,0.0001413321,0.0001602947,0.001867973],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0220868,"threshold_uncertainty_score":0.1168076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.245924379491424,"score_gpt":0.5516594279887557,"score_spread":0.3057350484973317,"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."}}