{"id":"W4316335647","doi":"10.5194/isprs-annals-x-4-w1-2022-623-2023","title":"MEASURING SPATIAL ACCESSIBILITY TO HEALTHCARE FACILITIES IN ISFAHAN METROPOLITAN AREA IN IRAN","year":2023,"lang":"en","type":"article","venue":"ISPRS annals of the photogrammetry, remote sensing and spatial information sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"European Commission","keywords":"Metropolitan area; Megacity; Health care; Catchment area; Business; Population; Transport engineering; Geography; Environmental health; Medicine; Economic growth; Cartography; Engineering","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":[0.0006893366,0.0002806545,0.0001610466,0.002095778,0.0004137639,0.0004394262,0.0003742449,0.0002377581,0.001069265],"category_scores_gemma":[0.002210529,0.0001003183,0.0003652559,0.002429804,0.0002488225,0.0004171861,0.0005162617,0.0001792223,0.00009244564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008644072,"about_ca_system_score_gemma":0.001118856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02796236,"about_ca_topic_score_gemma":0.03461945,"domain_scores_codex":[0.9995555,0.0001315445,0.00004633541,0.00004695717,0.0001546915,0.00006497937],"domain_scores_gemma":[0.9992378,0.0002059698,0.0002513895,0.00002868641,0.0002322466,0.00004398056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004607118,0.000098249,0.9631427,0.00007805294,0.00006887274,0.00009141367,0.0007979852,0.002186973,0.0004137744,0.0005483627,0.001152862,0.03137465],"study_design_scores_gemma":[0.000008732595,0.00007363593,0.9901299,0.00003130679,0.00003484038,0.0001091584,0.003632528,0.004258422,0.0003227962,0.0003463187,0.001041258,0.0000110055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972016,0.00009378477,0.0006277187,0.0001196087,0.000006537845,0.00003538912,0.0004953045,0.0000101099,0.00140998],"genre_scores_gemma":[0.9982547,0.00006759948,0.001222913,0.00001013546,0.000004677848,0.00005249372,0.0002570145,7.396872e-7,0.0001297295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02796236,"threshold_uncertainty_score":0.05559921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1647975822230096,"score_gpt":0.3730412075372787,"score_spread":0.208243625314269,"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."}}