{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003159432,0.0002439605,0.000195323,0.0002690421,0.0001916455,0.0000351074,0.0002151846,0.0001718004,0.1008383],"category_scores_gemma":[0.0003124674,0.0002145722,0.0001013617,0.000303799,0.0003577732,0.00006428705,0.00003053859,0.0003718557,0.001177101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003196512,"about_ca_system_score_gemma":0.0000605198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007253644,"about_ca_topic_score_gemma":0.00001128269,"domain_scores_codex":[0.9978012,0.0004877902,0.000274789,0.0005845431,0.0004057928,0.0004458143],"domain_scores_gemma":[0.9983875,0.000813529,0.0001025113,0.000277845,0.0002365491,0.0001820699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007312103,0.001351498,0.6349037,0.00004653703,0.0005262178,0.0002828735,0.002670341,0.000001422341,0.0007906468,0.01958213,0.02740786,0.3051246],"study_design_scores_gemma":[0.002479572,0.0004703685,0.9902297,0.00004237729,0.0000415852,0.00001852945,0.001054594,0.00003906286,0.001361508,0.002508669,0.001444568,0.0003094639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3198012,0.0000953759,0.004116993,0.0001188682,0.0005261581,0.0006244805,0.0002443912,0.00009732387,0.6743752],"genre_scores_gemma":[0.9940977,0.000005141311,0.001044324,0.001744222,0.00007604208,0.0001294401,0.0001266855,0.0000272977,0.002749193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6742965,"threshold_uncertainty_score":0.9996006,"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."}}