{"id":"W2581448098","doi":"10.1177/0042098016684274","title":"Churn and change along commercial strips: Spatial analysis of patterns in remodelling activity and landscapes of local business","year":2017,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Redevelopment; Urban sprawl; Economic geography; Geography; Business; Entertainment; Scale (ratio); Regional science; Marketing; Land use; Cartography; Civil engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006016492,0.0001269868,0.0002079602,0.003446045,0.0003914736,0.001095532,0.0003057766,0.000253043,0.001384757],"category_scores_gemma":[0.002792667,0.0001432138,0.0003516021,0.005107753,0.0005338546,0.0006164041,0.0009923015,0.0002087734,0.0002555677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005298925,"about_ca_system_score_gemma":0.000322266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03011337,"about_ca_topic_score_gemma":0.04627146,"domain_scores_codex":[0.9994749,0.0002094602,0.00003989445,0.0001141577,0.0001000727,0.0000614192],"domain_scores_gemma":[0.9978782,0.001045575,0.0004984762,0.0001643977,0.0002791291,0.0001343301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001441663,0.00005210057,0.9685889,0.00006948284,0.00009020168,0.000151912,0.004545149,0.002165941,0.001521537,0.0006138845,0.0003375289,0.02171917],"study_design_scores_gemma":[0.000002478784,0.00004293709,0.9862756,0.00001446595,0.0000184898,0.00009622713,0.006872729,0.005403699,0.0002213894,0.0002146414,0.0008257069,0.00001171769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976184,0.0001041498,0.0007942791,0.00002743304,0.000001140462,0.00001377445,0.0004080235,0.00001571093,0.001017021],"genre_scores_gemma":[0.997888,0.00006152876,0.001312219,0.000003234279,0.000001665374,0.00001990423,0.000380659,0.000004927643,0.0003278352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03011337,"threshold_uncertainty_score":0.0598762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093526821638381,"score_gpt":0.3514682823521709,"score_spread":0.2421156001883328,"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."}}