{"id":"W1563999187","doi":"10.1108/03090560910990009","title":"Cross‐national segmentation","year":2009,"lang":"en","type":"article","venue":"European Journal of Marketing","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Market segmentation; Sample (material); Marketing; Product (mathematics); Service (business); Business; Originality; Conjoint analysis; Promotion (chess); Segmentation; Population; Homogeneous; Economics; Computer science; Microeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00241776,0.0003915194,0.000472288,0.002476401,0.001844564,0.003194565,0.0007106924,0.0006807827,0.01112672],"category_scores_gemma":[0.003854021,0.0001778277,0.0006367769,0.003119644,0.00140312,0.002492881,0.003674687,0.0005456746,0.0008388966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003372571,"about_ca_system_score_gemma":0.001639375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01756786,"about_ca_topic_score_gemma":0.02112017,"domain_scores_codex":[0.9980291,0.0006137052,0.0001136441,0.0004862467,0.0003013789,0.0004560539],"domain_scores_gemma":[0.9979043,0.0005407116,0.0005929827,0.0002487274,0.0005634167,0.0001498486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003680516,0.0002116614,0.4340687,0.0006233268,0.000248665,0.001085842,0.05948761,0.001955018,0.003542937,0.1876658,0.009391045,0.3013513],"study_design_scores_gemma":[0.00001927635,0.0002728425,0.6757218,0.001084435,0.0002089081,0.001691326,0.1203714,0.006166173,0.00190314,0.05767138,0.1348192,0.00007002932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7583349,0.002524023,0.0174651,0.002778618,0.0001605508,0.0002964653,0.0008868351,0.0001033924,0.2174502],"genre_scores_gemma":[0.9872581,0.0004878539,0.004339755,0.0005825308,0.00003232934,0.0001603237,0.0007439823,0.00002944164,0.006365639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01756786,"threshold_uncertainty_score":0.03722262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04001892051944389,"score_gpt":0.2583058679373142,"score_spread":0.2182869474178703,"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."}}