{"id":"W1997045770","doi":"10.6000/1927-5129.2013.09.49","title":"Assessment the Quality of Life in Karachi City through the Integration of Space and Spatial Technologies","year":2013,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Normalized Difference Vegetation Index; Thematic map; Raster graphics; Geographic information system; Census; Geography; Socioeconomic status; Thematic Mapper; Remote sensing; Raster data; Land cover; Spatial analysis; Index (typography); Cartography; Land use; Satellite imagery; Computer science; Civil engineering; Population; Environmental health; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000332779,0.0002436207,0.0002002272,0.002450842,0.0004687052,0.001311708,0.0002017767,0.0001766439,0.001179378],"category_scores_gemma":[0.0009529941,0.00009508122,0.0002716846,0.002662122,0.0003636613,0.0008115441,0.001068363,0.0002146977,0.0001691306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005591521,"about_ca_system_score_gemma":0.0009071952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01462063,"about_ca_topic_score_gemma":0.02455038,"domain_scores_codex":[0.9996262,0.000103888,0.00002897059,0.00003212307,0.0001461299,0.00006279241],"domain_scores_gemma":[0.9995177,0.00007497471,0.0001309365,0.00002983397,0.000203631,0.00004289873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006845646,0.0001021552,0.8708034,0.0001946108,0.0001137118,0.0002812113,0.001856906,0.003242035,0.0015212,0.001566233,0.001038514,0.1192117],"study_design_scores_gemma":[0.000007024791,0.0003174951,0.9739217,0.00005140989,0.00008363443,0.0003819459,0.01158864,0.007119354,0.001161546,0.0013831,0.003945195,0.00003885277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986978,0.0003315756,0.005194296,0.000244121,0.00001268096,0.0000627797,0.001069378,0.00003897203,0.006068116],"genre_scores_gemma":[0.9961815,0.0002366629,0.002874345,0.0000173488,0.00000604703,0.00002709708,0.0003779277,0.000001531177,0.0002775583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01462063,"threshold_uncertainty_score":0.02907103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04462687280398209,"score_gpt":0.2903278261007091,"score_spread":0.245700953296727,"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."}}