{"id":"W3125498746","doi":"10.5430/rwe.v8n1p1","title":"Mall Flicks - The Mall Boom in Turkey with an Unexpected Byproduct: The Movie Sector Expansion","year":2017,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boom; Real estate; Shopping mall; Metropolitan area; Urbanization; Construct (python library); Business; Resizing; Economics; Economy; Advertising; Economic growth; Computer science; Engineering; Geography; Economic policy; Finance","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":[0.0002902391,0.0002501064,0.0002797785,0.0006778651,0.0004601188,0.001212806,0.0002716439,0.0005106148,0.004171898],"category_scores_gemma":[0.0006209657,0.0001380142,0.0003128627,0.001374719,0.0003826925,0.001089414,0.0006779972,0.0009151904,0.0005662271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529082,"about_ca_system_score_gemma":0.0006793795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06611,"about_ca_topic_score_gemma":0.1100757,"domain_scores_codex":[0.9997806,0.00002969981,0.00001340813,0.00006113202,0.00004018974,0.00007500839],"domain_scores_gemma":[0.9994084,0.00008311753,0.0002496809,0.00003867002,0.0001448309,0.00007527945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007172568,0.0003461084,0.8680109,0.0005021596,0.0001830121,0.007390834,0.002673795,0.006446477,0.002331714,0.009951023,0.04948227,0.05196455],"study_design_scores_gemma":[0.00002121588,0.00009287739,0.9662605,0.00006715602,0.00005937716,0.0005331504,0.007259102,0.005318351,0.0008778787,0.0007355756,0.01874363,0.0000311589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891949,0.0005162408,0.0003389946,0.0008635755,0.0000501739,0.00001842116,0.002803238,0.00002582556,0.006188691],"genre_scores_gemma":[0.9951368,0.000287781,0.0002030361,0.0001521559,0.00002518351,0.000006194009,0.002478411,0.000009635794,0.001700734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06611,"threshold_uncertainty_score":0.1314504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1381824624965058,"score_gpt":0.3168477842779853,"score_spread":0.1786653217814795,"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."}}