{"id":"W4220750595","doi":"10.1002/cjas.1662","title":"Experiential value and shopping well‐being of aging consumers","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Brick and mortar; Metropolitan area; Socialization; Experiential learning; Product (mathematics); Aging in place; Psychology; Marketing; Business; Advertising; Social psychology; Medicine; Gerontology; The Internet; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00265262,0.0002085268,0.0003274938,0.0009622252,0.003139558,0.0005113499,0.0006845886,0.00003670823,0.0002879208],"category_scores_gemma":[0.0004705738,0.0002179896,0.0001041404,0.001537133,0.004589039,0.001404865,0.00008572994,0.000251573,0.000001102399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003916821,"about_ca_system_score_gemma":0.002899928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01341544,"about_ca_topic_score_gemma":0.2524313,"domain_scores_codex":[0.9978777,0.00009111403,0.0006448526,0.0003810478,0.0003248641,0.0006804246],"domain_scores_gemma":[0.9984112,0.0001357488,0.0008019488,0.0001177719,0.0003048423,0.0002284669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003574377,0.00004729072,0.8736026,0.0001666305,0.0000538229,0.0005513888,0.01675813,0.0003650003,0.002142959,0.09951343,0.00008674567,0.006676247],"study_design_scores_gemma":[0.00256085,0.006515553,0.2937593,0.001165556,0.0008834103,0.007530184,0.6072301,0.01335838,0.003557225,0.02422426,0.0361458,0.003069404],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891454,0.0004927674,0.000133551,0.001111939,0.0006843572,0.00016384,0.0000121372,0.000008266234,0.008247729],"genre_scores_gemma":[0.998248,0.000007944855,0.00141164,0.0001541714,0.00009357864,0.00001012198,0.000002633169,0.000009824874,0.00006206809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5904719,"threshold_uncertainty_score":0.9981582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08082170560266126,"score_gpt":0.306389015602107,"score_spread":0.2255673099994457,"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."}}