{"id":"W1553259513","doi":"","title":"Identity, Demographics, And Consumption: A Study of Segmentation Variables across Eight Countries and Nine Product Categories","year":2009,"lang":"en","type":"article","venue":"ASAC","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Carleton University; Western University","funders":"","keywords":"Demographics; Product (mathematics); Identity (music); Consumption (sociology); Segmentation; Geography; Computer science; Demography; Mathematics; Sociology; Artificial intelligence; Social science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00096011,0.000286654,0.0004251723,0.0009685955,0.001883556,0.001277019,0.0004145277,0.0005709705,0.002597734],"category_scores_gemma":[0.002190713,0.0003938394,0.0006994455,0.002192085,0.0009769612,0.001301607,0.001379484,0.001019647,0.0004034113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005996101,"about_ca_system_score_gemma":0.0005559771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03706404,"about_ca_topic_score_gemma":0.06178375,"domain_scores_codex":[0.9994805,0.0002236464,0.00003304091,0.00007076909,0.0000624492,0.000129659],"domain_scores_gemma":[0.9982389,0.0004978389,0.0005635288,0.0001137301,0.0001807263,0.0004052011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001394152,0.0002173478,0.9923787,0.00000596226,0.00006019332,0.00005604298,0.005305962,0.0000384229,0.0001729661,0.0001079181,0.0001063147,0.001410855],"study_design_scores_gemma":[0.000006820903,0.0001280458,0.9849705,0.000006075182,0.00002893764,0.00005214481,0.01428058,0.0001510731,0.00005575382,0.00004611776,0.0002685195,0.000005495446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997104,0.00001603746,0.00002168685,0.00001168761,0.000001035243,0.000003404502,0.00004009435,4.330246e-7,0.0001951898],"genre_scores_gemma":[0.9995261,0.00002760549,0.00005108015,0.00002028821,0.00000179452,0.000009926128,0.0001499652,0.000001536734,0.0002117406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03706404,"threshold_uncertainty_score":0.07369661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500430691296863,"score_gpt":0.3325941906866947,"score_spread":0.307589883773726,"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."}}