{"id":"W2079860234","doi":"10.1016/s0277-9536(00)00384-1","title":"Consequences of disease: testing the WHO International Classification of Impairments, Disabilities and Handicaps (ICIDH) model","year":2001,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Heart and Stroke Foundation of Canada","keywords":"Stroke (engine); Confirmatory factor analysis; Structural equation modeling; Disease; Psychology; Path analysis (statistics); Correlation; Test (biology); Medicine; Gerontology; Physical medicine and rehabilitation; Clinical psychology; Statistics; Mathematics; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01315528,0.001386731,0.001319285,0.001899891,0.0009163146,0.001508498,0.002704818,0.001470529,0.008954638],"category_scores_gemma":[0.03815013,0.0003041664,0.00241304,0.001572998,0.001822209,0.002703005,0.002878855,0.001494019,0.0009366272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001399513,"about_ca_system_score_gemma":0.002412867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02233655,"about_ca_topic_score_gemma":0.01346281,"domain_scores_codex":[0.9934959,0.00439413,0.0002438259,0.0006771332,0.0006480006,0.0005409649],"domain_scores_gemma":[0.9410737,0.04984146,0.003767666,0.002058502,0.001545985,0.001712758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003026464,0.001864061,0.9192908,0.0002452059,0.001596502,0.0002819357,0.0003444604,0.02799175,0.00009396364,0.01417603,0.005915276,0.02517364],"study_design_scores_gemma":[0.001127189,0.005335581,0.660528,0.000205306,0.002036209,0.001013957,0.00384045,0.2748052,0.0003053696,0.04720722,0.003473976,0.0001215618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715375,0.0009296516,0.009190461,0.002372633,0.0003227131,0.0002582894,0.005533161,0.00008244905,0.009773245],"genre_scores_gemma":[0.9949856,0.0001900975,0.00190484,0.0001377937,0.00006639786,0.0001440861,0.001880004,0.00001305526,0.0006781022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02233655,"threshold_uncertainty_score":0.06957263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4150782935216842,"score_gpt":0.455014446922254,"score_spread":0.03993615340056977,"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."}}