{"id":"W1591753450","doi":"","title":"Market Segmentation Based on Consumers' Cognitive - Motivational Structures","year":2011,"lang":"en","type":"article","venue":"Konsumpcja i Rozwój","topic":"Cognitive and psychological constructs research","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Market segmentation; Cognition; Segmentation; Business; Marketing; Psychology; Cognitive psychology; Computer science; Artificial intelligence","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":[0.0009718256,0.00020151,0.0002222661,0.001086466,0.000524207,0.002360079,0.0002782986,0.0006433109,0.006989454],"category_scores_gemma":[0.005711323,0.0002476644,0.0004439726,0.0006102828,0.001008259,0.001413685,0.0006872257,0.0005426609,0.0004333796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486631,"about_ca_system_score_gemma":0.0006638185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002364246,"about_ca_topic_score_gemma":0.003489614,"domain_scores_codex":[0.9994289,0.0001644218,0.00002423129,0.0001057379,0.0001508182,0.0001259141],"domain_scores_gemma":[0.9964178,0.002076673,0.0005360621,0.0001434721,0.000454281,0.0003717639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003374649,0.00197027,0.7031689,0.0002139764,0.0003393264,0.0006049759,0.01207779,0.004272647,0.05209734,0.1342119,0.001766124,0.08590209],"study_design_scores_gemma":[0.00007842785,0.000206701,0.9409199,0.00003319853,0.0001100401,0.0001001932,0.002616011,0.02084772,0.003107304,0.03071554,0.001217386,0.00004757094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779757,0.00006802257,0.00319484,0.0003119325,0.000007803695,0.00004765376,0.00005809972,0.00001703216,0.01831889],"genre_scores_gemma":[0.9987366,0.00001319652,0.0006304528,0.00001914827,0.000005068215,0.00000944047,0.00003986829,0.000006016021,0.0005403367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006989454,"threshold_uncertainty_score":0.02338201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112771595883658,"score_gpt":0.3747478889658053,"score_spread":0.2619762930821473,"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."}}