{"id":"W2232418879","doi":"","title":"The Use of GIS for the Subjective and Objective Analysis of the Quality of Life in KwaZulu-Natal, South Africa","year":2011,"lang":"en","type":"article","venue":"Arab world geographer","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Weighting; Quality of life (healthcare); Feeling; Life satisfaction; Geography; Socioeconomics; Perception; Life quality; Rural area; Quality (philosophy); Gerontology; Psychology; Demography; Social psychology; Sociology; Medicine; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001584836,0.00009154158,0.0003090502,0.0001285852,0.000296777,0.00001728952,0.0003834213,0.00004417617,0.00004364879],"category_scores_gemma":[0.0003837731,0.00004560365,0.0003597619,0.002686169,0.001586287,0.0001396652,0.00004088228,0.000104695,1.145283e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008987235,"about_ca_system_score_gemma":0.00007139755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04095807,"about_ca_topic_score_gemma":0.291463,"domain_scores_codex":[0.9985427,0.0003396219,0.0004373423,0.0002001331,0.0002818519,0.0001983787],"domain_scores_gemma":[0.9975517,0.001398282,0.0004128882,0.0003905952,0.0002109072,0.00003556336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001492505,0.00007765374,0.9462669,0.000008641224,0.0004345466,3.206634e-8,0.05094547,0.000008664171,0.00000776426,0.001732591,0.00002423361,0.0003442185],"study_design_scores_gemma":[0.000184645,0.00001419223,0.9869638,0.00000826001,0.0003107183,1.623585e-9,0.009438587,0.00002238921,0.00009465261,0.0025535,0.0003505844,0.00005866983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970272,0.0006512811,0.00006330217,0.0001317636,0.00006028046,0.0005059634,0.0001027045,0.000005920189,0.001451537],"genre_scores_gemma":[0.999584,0.00004313633,0.00006414615,0.00002782949,0.00001026816,0.00002931487,9.717271e-7,0.000004149155,0.000236188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2505049,"threshold_uncertainty_score":0.9654283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0819799811941404,"score_gpt":0.3062222182955592,"score_spread":0.2242422371014188,"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."}}