{"id":"W2912678989","doi":"10.5430/ijfr.v10n2p1","title":"Mall Performance: Corporate, Retail, Restaurants and E-commerce Effects","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Shopping mall; Marketing; Revenue; Real estate; Productivity; E-commerce; Measure (data warehouse); Social media; Advertising; Finance; Economics; Computer science; Database","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":[0.001404193,0.0003151255,0.0004023072,0.001568936,0.0004852141,0.001760548,0.0005758203,0.0006248668,0.006982824],"category_scores_gemma":[0.005184575,0.0001588346,0.0009845556,0.002834385,0.0006315774,0.001215948,0.001420163,0.0009513503,0.001020511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008296967,"about_ca_system_score_gemma":0.0008381815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.039835,"about_ca_topic_score_gemma":0.06074707,"domain_scores_codex":[0.9986752,0.0003105763,0.0001450865,0.0002624349,0.0002967038,0.0003100031],"domain_scores_gemma":[0.992332,0.002307553,0.002543966,0.0003562579,0.0007293716,0.001730815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001371718,0.00009010072,0.9956602,0.00002394763,0.0001961368,0.00005274589,0.00009810037,0.0002936769,0.00007346195,0.000159304,0.0005421659,0.00267281],"study_design_scores_gemma":[0.000005323712,0.0002186621,0.9972662,0.00002443509,0.00008093932,0.00003067766,0.0005957219,0.000592371,0.0001146609,0.00005825261,0.001004935,0.000007904458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939914,0.0005251208,0.0002109894,0.0001952733,0.00003742841,0.00001397724,0.002262606,0.00003299151,0.00273021],"genre_scores_gemma":[0.9960275,0.0001069763,0.0001002947,0.00002970554,0.00002513373,0.00001042542,0.001798514,0.000009676673,0.001891874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.039835,"threshold_uncertainty_score":0.07920629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08471038246560648,"score_gpt":0.3319079960927539,"score_spread":0.2471976136271474,"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."}}