{"id":"W2990458050","doi":"10.1007/s11136-019-02366-8","title":"Deriving an overall appearance domain score by applying bifactor IRT analysis to the BODY-Q appearance scales","year":2019,"lang":"en","type":"article","venue":"Quality of Life Research","topic":"Body Contouring and Surgery","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Brigham and Women's Hospital","keywords":"Interpretability; Correlation; Statistics; Scale (ratio); Psychology; Item response theory; Psychometrics; Clinical psychology; Mathematics; Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.009687777,0.0001869587,0.0008064686,0.0003864371,0.0002561669,0.00008678799,0.0004673659,0.0001281481,0.00008176477],"category_scores_gemma":[0.00104789,0.0001395273,0.0002935719,0.001294215,0.0002323943,0.0001491438,0.000163085,0.0006390326,0.0001498895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009073637,"about_ca_system_score_gemma":0.0002260104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002328577,"about_ca_topic_score_gemma":0.0002655844,"domain_scores_codex":[0.99499,0.001175501,0.0006400136,0.0006031409,0.001847862,0.0007434724],"domain_scores_gemma":[0.9971743,0.0005965756,0.000133243,0.001268334,0.0003630471,0.0004644759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008585723,0.0003337536,0.9073601,0.0008277064,0.0006856808,0.000006114325,0.001622443,0.0001472692,0.07917216,0.0005629006,0.003812498,0.004610851],"study_design_scores_gemma":[0.001233527,0.00031614,0.9811023,0.0007206372,0.00006724046,0.000001829438,0.001996298,0.001730208,0.002145919,0.000191462,0.01009342,0.0004010239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910099,0.001725082,0.001323674,0.004137015,0.00006811106,0.0008451213,0.00002417612,0.00005403548,0.000812865],"genre_scores_gemma":[0.9976403,0.00007044114,0.0002573597,0.0004740297,0.0003366284,0.0000616382,0.00001677819,0.00002782411,0.001115071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07702624,"threshold_uncertainty_score":0.5689758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1422533705273233,"score_gpt":0.4184354644898592,"score_spread":0.2761820939625359,"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."}}