{"id":"W2271687561","doi":"10.5539/mas.v10n2p1","title":"The Relationship between Dimensions of Health Related Quality of Life and Health Conditions among Elderly People: A Fuzzy Linear Regression Approach","year":2015,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality of life (healthcare); Linear regression; Bayesian multivariate linear regression; Fuzzy logic; Stepwise regression; Multivariate statistics; Regression analysis; Regression; Mathematics; Statistics; Medicine; Gerontology; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0409053,0.0002168042,0.0008723681,0.0005252492,0.001690327,0.0001966641,0.001338619,0.0001168743,0.000004743745],"category_scores_gemma":[0.01264141,0.0001254343,0.00008477359,0.003117276,0.001911454,0.0004536185,0.0005867341,0.0003887276,0.00001254309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001245601,"about_ca_system_score_gemma":0.00165655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004754693,"about_ca_topic_score_gemma":0.0001467992,"domain_scores_codex":[0.9911208,0.0009547025,0.002792171,0.0009532964,0.003629796,0.0005492354],"domain_scores_gemma":[0.9889657,0.005578177,0.002508678,0.001508567,0.0007336785,0.000705182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001176892,0.0002610485,0.8694574,0.00006154441,0.00001865487,3.466929e-7,0.02449843,0.002485537,0.002890683,0.05769486,0.002465,0.04004879],"study_design_scores_gemma":[0.0007144403,0.00008939586,0.8313724,0.00005659799,0.000003891246,0.000002097802,0.003545258,0.03932392,0.00003013942,0.1246708,0.00003983203,0.00015127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9189605,0.0005292775,0.07656834,0.002007209,0.0001498785,0.0007883566,0.00005175508,0.00004860318,0.0008960554],"genre_scores_gemma":[0.9896795,0.00001162462,0.01005746,0.00008336277,0.00001847836,0.00002388503,0.00001084641,0.00001417881,0.0001006851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07071895,"threshold_uncertainty_score":0.9996094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4636738784191036,"score_gpt":0.4842022302276603,"score_spread":0.02052835180855667,"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."}}