{"id":"W4390629242","doi":"10.1016/j.jretconser.2023.103670","title":"What retail apocalypse? A Delphi forecast of commercial space demand in the Toronto region","year":2024,"lang":"en","type":"article","venue":"Journal of Retailing and Consumer Services","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Delphi method; Retail industry; Space (punctuation); Demand forecasting; On demand; Marketing; Business; Retail sales; Physical space; Delphi; Retail trade; Economics; Industrial organization; Commerce; Geography; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007182748,0.0001905288,0.0001320829,0.0008288863,0.001017819,0.001230796,0.0002903595,0.0004278265,0.003174303],"category_scores_gemma":[0.002176546,0.0001788207,0.0002362,0.001613377,0.0003430214,0.0005507662,0.0005935868,0.0005259317,0.0003697694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009974356,"about_ca_system_score_gemma":0.004938294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8231694,"about_ca_topic_score_gemma":0.9079986,"domain_scores_codex":[0.9995201,0.0001020647,0.00003400218,0.0000536394,0.0001285799,0.0001617511],"domain_scores_gemma":[0.998399,0.0004306032,0.0001827639,0.00002875959,0.0006460216,0.0003128615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004781163,0.0001166515,0.8838607,0.0002768115,0.00008954373,0.001605973,0.05771008,0.01035601,0.005397045,0.002231006,0.01237157,0.02550647],"study_design_scores_gemma":[0.000006657403,0.0001152786,0.8111725,0.0001130499,0.00002051865,0.00007842808,0.1634712,0.01392611,0.0005424481,0.0002254303,0.01029075,0.00003762877],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902421,0.0001288231,0.0004226932,0.0009016625,0.000007220495,0.0000508745,0.00216428,0.000007573056,0.006074723],"genre_scores_gemma":[0.9971288,0.0001117566,0.0002540315,0.00005101438,0.000002896021,0.00001394802,0.0004826885,0.000003366169,0.001951543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1768306,"threshold_uncertainty_score":0.3557439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041312547760942,"score_gpt":0.2629591398232373,"score_spread":0.2325460143456279,"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."}}