{"id":"W2885764426","doi":"10.5539/jsd.v11n4p174","title":"Effect of Physical Changes on the Spatial Structure of Historical Area, the Historical District of Urmia City as a Case Study","year":2018,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Space syntax; Economic geography; Urbanism; Geography; Spatial organization; Space (punctuation); Regional science; Urban spatial structure; Street network; Urban structure; Architecture; Urban planning; Civil engineering; Computer science; Archaeology","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":[0.000561116,0.0002408979,0.0002356493,0.001849931,0.002728473,0.00181531,0.0008119631,0.0004641314,0.00280208],"category_scores_gemma":[0.001588623,0.0001762736,0.0004219072,0.002731081,0.001659212,0.000770632,0.001724669,0.000431606,0.0001461489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003449394,"about_ca_system_score_gemma":0.001420584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0559652,"about_ca_topic_score_gemma":0.1076204,"domain_scores_codex":[0.9992311,0.0003883424,0.00002778286,0.00007816173,0.000108561,0.000166125],"domain_scores_gemma":[0.9994552,0.0001555409,0.0001080602,0.00006764186,0.00013105,0.0000825602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005547158,0.001359076,0.6938761,0.0006382347,0.0002261732,0.02706395,0.1069324,0.0192447,0.004061332,0.02944627,0.004938605,0.1116585],"study_design_scores_gemma":[0.00003903382,0.0004722059,0.7575901,0.0001676882,0.0002014703,0.00240622,0.1955736,0.01233884,0.001986748,0.002328319,0.02683106,0.00006464493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953449,0.0001282421,0.0002148998,0.0001140898,0.000007635085,0.00002654595,0.00007975928,0.000006464412,0.004077394],"genre_scores_gemma":[0.9990358,0.0001179559,0.0003017451,0.000006534597,0.000003065924,0.00001276594,0.00005214963,0.00000164751,0.0004682285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0559652,"threshold_uncertainty_score":0.1112789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009844794263959856,"score_gpt":0.2136814018929607,"score_spread":0.2038366076290008,"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."}}