{"id":"W4240962882","doi":"10.32920/ryerson.14667924","title":"An Analysis of Major Retail Store Change in Canada: 2013-2018","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Statistics Canada","funders":"","keywords":"Business; Retail trade; Per capita; Population; Retail market; Retail sales; Marketing; Relation (database); Commerce; Advertising; Agricultural economics; Economics; Database; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002751754,0.0003546117,0.001073032,0.001016426,0.00005406807,0.0001452871,0.0005299748,0.0001412383,0.002976782],"category_scores_gemma":[0.00003338804,0.0003490695,0.0002398034,0.001346802,0.00004639754,0.0003985046,0.001337439,0.0003317574,0.000008683824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004276437,"about_ca_system_score_gemma":0.0003719967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981341,"about_ca_topic_score_gemma":0.9998678,"domain_scores_codex":[0.9979062,0.0000236328,0.0005767653,0.0006702556,0.0004877883,0.0003353744],"domain_scores_gemma":[0.9982342,0.00002213673,0.0004476354,0.0009357443,0.0003427569,0.00001752794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006367356,0.00005890852,0.98779,0.000248983,0.0006576406,0.00005284963,0.0000907362,0.00003561875,0.00001789947,0.00007760214,0.0002654681,0.01069788],"study_design_scores_gemma":[0.0001523292,0.00000155598,0.9863983,0.00008300745,0.00305559,1.124742e-7,0.001414096,0.006733592,0.000005218585,0.000003962609,0.001767501,0.0003847451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951053,0.001376082,0.00001523978,0.0008898019,0.0005712549,0.0003713543,0.00003913555,0.00004512361,0.00158675],"genre_scores_gemma":[0.9986501,0.00009319609,0.0000884739,0.0002301416,0.0001192291,0.000114758,0.0004587161,0.00003140746,0.0002140252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01031314,"threshold_uncertainty_score":0.9998961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06064818670345089,"score_gpt":0.2669849787787569,"score_spread":0.206336792075306,"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."}}