{"id":"W3023324179","doi":"10.1002/9781118445112.stat05326","title":"Health Status Instruments, Measurement Properties of","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Interpretability; Measure (data warehouse); Discriminative model; Key (lock); Psychology; Data science; Medicine; Computer science; Data mining; Artificial intelligence; Computer security","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001068902,0.0004358226,0.001104617,0.0002794698,0.0003091095,0.00006527704,0.0004875784,0.0003164397,0.001369353],"category_scores_gemma":[0.0008463682,0.0003833391,0.00006333817,0.0002250759,0.000570402,0.00005702396,0.0001009155,0.0004341928,0.00006180789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006511043,"about_ca_system_score_gemma":0.004762857,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07035511,"about_ca_topic_score_gemma":0.1340168,"domain_scores_codex":[0.99436,0.0005943353,0.001002192,0.0005032707,0.002277234,0.001263022],"domain_scores_gemma":[0.9972405,0.00006077353,0.001075909,0.000508308,0.0004424818,0.0006720521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005173126,0.0004419481,0.002098851,0.005799033,0.0001712628,0.000002533756,0.002292383,0.000002362015,0.000002707533,0.1192043,0.7517209,0.118212],"study_design_scores_gemma":[0.0004581873,0.0001599805,0.0007105198,0.003297321,0.00003424663,1.96628e-7,0.001468265,0.00002832996,0.000002397418,0.0009330132,0.9925125,0.0003950761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004313349,0.07670539,0.03400073,0.01352884,0.008689449,0.008625994,0.100816,0.001667591,0.7555347],"genre_scores_gemma":[0.05516887,0.2839561,0.1325436,0.007558655,0.002546652,0.0002182381,0.003897434,0.001753167,0.5123573],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2431774,"threshold_uncertainty_score":0.9998618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.148362858554626,"score_gpt":0.3600088225999925,"score_spread":0.2116459640453665,"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."}}