{"id":"W3024827624","doi":"10.1080/08982112.2020.1741619","title":"Bayesian probability of agreement for comparing survival or reliability functions with parametric lifetime regression models","year":2020,"lang":"en","type":"article","venue":"Quality Engineering","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Covariate; Bayesian probability; Reliability (semiconductor); Weibull distribution; Parametric statistics; Similarity (geometry); Computer science; Statistics; Econometrics; Data mining; Mathematics; Artificial intelligence","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":[0.135907,0.001941214,0.002586236,0.008094971,0.0014077,0.005034673,0.004216637,0.004030596,0.005377478],"category_scores_gemma":[0.4043141,0.001205063,0.003742386,0.005228926,0.007182085,0.007661328,0.005800431,0.006388306,0.001313388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002584951,"about_ca_system_score_gemma":0.002657819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002218946,"about_ca_topic_score_gemma":0.00113986,"domain_scores_codex":[0.8807805,0.08789946,0.004625909,0.009418338,0.01618078,0.001094992],"domain_scores_gemma":[0.6042699,0.3400788,0.01886963,0.02426017,0.01141106,0.001110441],"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":[0.0004600273,0.0001519562,0.01257262,0.001200077,0.001576656,0.0002423948,0.001805552,0.2028942,0.00164597,0.6409807,0.005540153,0.1309298],"study_design_scores_gemma":[0.000067508,0.0002570916,0.004875442,0.0004543237,0.0002249728,0.0003853156,0.0003441892,0.3380837,0.002012792,0.6448501,0.008251557,0.0001930686],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003007554,0.0004556045,0.9943738,0.0001911645,0.00006259001,0.0000801569,0.0001398739,0.0001943906,0.001494918],"genre_scores_gemma":[0.3181706,0.001329619,0.6738386,0.0006015131,0.0004703134,0.002223597,0.001174945,0.0007424076,0.001448485],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.135907,"threshold_uncertainty_score":0.7187536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1977749977517763,"score_gpt":0.3806717568118881,"score_spread":0.1828967590601118,"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."}}