{"id":"W2760713401","doi":"10.1080/24709360.2017.1359356","title":"Analysis of progressive multi-state models with misclassified states: likelihood and pairwise likelihood methods","year":2017,"lang":"en","type":"article","venue":"Biostatistics & Epidemiology","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pairwise comparison; Inference; Computer science; Maximum likelihood; State (computer science); Data mining; Artificial intelligence; Machine learning; Econometrics; Statistics; Mathematics; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.05280696,0.001758306,0.002934635,0.002459469,0.0008251612,0.002660493,0.005806346,0.002661049,0.002932034],"category_scores_gemma":[0.1655959,0.001311409,0.003658987,0.002459363,0.003498622,0.004598537,0.004185762,0.005258273,0.0004156089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503042,"about_ca_system_score_gemma":0.002454973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004188429,"about_ca_topic_score_gemma":0.003122053,"domain_scores_codex":[0.980297,0.01484207,0.0006341262,0.002339755,0.001519701,0.0003675309],"domain_scores_gemma":[0.8183271,0.164987,0.00723478,0.006191319,0.002301898,0.0009578791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002430041,0.0001530258,0.01690692,0.0003879428,0.001173562,0.0006275011,0.0008359479,0.5736148,0.0005792502,0.3069158,0.001375738,0.09718654],"study_design_scores_gemma":[0.00004109214,0.00008237202,0.001529767,0.00007576086,0.0001112735,0.0001627779,0.00006169231,0.7792315,0.0003060292,0.2173722,0.0009768215,0.0000487371],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006503072,0.0002894866,0.9925913,0.0002691098,0.00002318289,0.00004949633,0.00005669313,0.00004890522,0.0001689105],"genre_scores_gemma":[0.4363988,0.001475685,0.5564958,0.0003396647,0.0003084788,0.0008701027,0.000826754,0.0001609761,0.003123759],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05280696,"threshold_uncertainty_score":0.2792732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1924233008744135,"score_gpt":0.4705267785926885,"score_spread":0.2781034777182749,"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."}}