{"id":"W4391715462","doi":"10.1007/978-3-031-17299-1_1647","title":"Life Quality Index","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Index (typography); Computer science; World Wide Web","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":[0.0006355467,0.0004547136,0.0005821696,0.002895204,0.0003059262,0.0009676477,0.0005579955,0.0002856274,0.09359323],"category_scores_gemma":[0.003096572,0.00007548013,0.0005115211,0.002747004,0.0001345905,0.000771129,0.0007272221,0.0009335747,0.03682124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019454,"about_ca_system_score_gemma":0.0005566568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003965152,"about_ca_topic_score_gemma":0.004918014,"domain_scores_codex":[0.999338,0.00008110292,0.00005054622,0.00005759373,0.000426369,0.0000464379],"domain_scores_gemma":[0.9990987,0.0001586256,0.0001183371,0.00003949226,0.0004547788,0.0001300805],"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":[0.000170158,0.0001142999,0.01366976,0.0003153677,0.00006063791,0.00003531252,0.00007548145,0.0003315493,0.0001712863,0.007656065,0.6405747,0.3368254],"study_design_scores_gemma":[0.00004912413,0.000135014,0.09086808,0.0003639321,0.00005807124,0.0003416384,0.0001020596,0.0006258075,0.0001938523,0.007438186,0.8997992,0.00002494304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01170302,0.0119826,0.004362199,0.003266385,0.001221472,0.0004486414,0.1381803,0.0009936005,0.8278418],"genre_scores_gemma":[0.1263942,0.01451787,0.01518853,0.003733602,0.001260732,0.001523227,0.2145579,0.0005717812,0.622252],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09359323,"threshold_uncertainty_score":0.3131006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08867249009202682,"score_gpt":0.3565929105386871,"score_spread":0.2679204204466603,"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."}}