{"id":"W6996818687","doi":"","title":"STARD-BLCM: Standards for the Reporting of Diagnostic accuracy studies that use Bayesian Latent Class Models","year":2017,"lang":"en","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island; McGill University","funders":"","keywords":"Latent class model; Bayesian probability; Diagnostic accuracy; Class (philosophy); Accuracy and precision","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":["metaresearch","metaepi_narrow","sts","open_science"],"consensus_categories":["sts"],"category_scores_codex":[0.01483769,0.0005220023,0.002171549,0.0007375667,0.001733589,0.000142035,0.005988522,0.0006402176,0.0003308006],"category_scores_gemma":[0.2589364,0.0004428309,0.001292044,0.001308873,0.003513987,0.001438023,0.003680965,0.0008855882,0.000008743627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004427982,"about_ca_system_score_gemma":0.000510142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009140389,"about_ca_topic_score_gemma":0.0009603321,"domain_scores_codex":[0.992213,0.0006491357,0.002062361,0.001322228,0.002921171,0.0008320684],"domain_scores_gemma":[0.8522962,0.125479,0.01206217,0.005051394,0.004584444,0.0005268563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0151967,0.003995631,0.3875148,0.001757882,0.004938995,0.002573027,0.003398264,0.009183503,0.01386876,0.05066184,0.2188625,0.2880481],"study_design_scores_gemma":[0.01283835,0.003537377,0.7472622,0.003236316,0.003389783,0.0002867639,0.02858634,0.01839486,0.00324677,0.09997538,0.07586686,0.003379021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4061158,0.001934852,0.5725992,0.005226532,0.0007370173,0.002902405,0.0009182463,0.0002749994,0.009290979],"genre_scores_gemma":[0.9394374,0.002556021,0.05656637,0.00003824552,0.00003555556,8.718661e-7,0.000004651945,0.00002916212,0.001331658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5333217,"threshold_uncertainty_score":0.9998024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5114831828999554,"score_gpt":0.4375017413316187,"score_spread":0.07398144156833669,"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."}}