{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1045788,0.0008546436,0.001234094,0.004565401,0.001074499,0.004490818,0.001090774,0.001408595,0.009434632],"category_scores_gemma":[0.4246489,0.0005468782,0.001960657,0.006609351,0.004278511,0.006045416,0.002899344,0.002880521,0.002626826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001936794,"about_ca_system_score_gemma":0.00374604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001521445,"about_ca_topic_score_gemma":0.001067167,"domain_scores_codex":[0.9177144,0.05102063,0.01110889,0.003918312,0.01533993,0.0008977606],"domain_scores_gemma":[0.7238686,0.2113779,0.02141322,0.01822953,0.02410863,0.001001986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006942285,0.0004405502,0.1715837,0.005275887,0.0008356283,0.0002576951,0.003263316,0.004299188,0.0009635894,0.2399559,0.02264164,0.5497887],"study_design_scores_gemma":[0.0005733314,0.001570844,0.3221881,0.009975986,0.001215921,0.001786331,0.002795434,0.02214083,0.006333537,0.4828873,0.1482097,0.0003226975],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1537268,0.01991077,0.6144642,0.0268319,0.003499327,0.01290871,0.02775987,0.001385537,0.1395129],"genre_scores_gemma":[0.717115,0.005613341,0.2447679,0.004298307,0.001448258,0.01472413,0.007574961,0.0003542682,0.004103985],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1045788,"threshold_uncertainty_score":0.553072,"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."}}