{"id":"W1968887010","doi":"10.1080/0965254x.2012.746998","title":"Cell phone product-market segments using product features as a cluster variate: a multi-country study","year":2013,"lang":"en","type":"article","venue":"Journal of Strategic Marketing","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phone; Market segmentation; Product (mathematics); Marketing; Residence; Business; Exploratory research; China; Cluster (spacecraft); Economics; Demographic economics; Computer science; Geography; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002042653,0.0002378819,0.000370786,0.001710555,0.001223899,0.001372575,0.0003025975,0.0003570821,0.00185638],"category_scores_gemma":[0.002940703,0.0003175718,0.0005288931,0.002309505,0.0008546917,0.001421093,0.001365822,0.0006191455,0.0002919112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004933402,"about_ca_system_score_gemma":0.0003839438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01262843,"about_ca_topic_score_gemma":0.02126562,"domain_scores_codex":[0.9990622,0.0004767384,0.00005450071,0.0001143521,0.0000947611,0.0001973931],"domain_scores_gemma":[0.9964628,0.001553414,0.001045482,0.0002619287,0.0003804658,0.000295937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001274314,0.000147648,0.9844028,0.00001807008,0.00005271877,0.0001537463,0.01093916,0.00007106206,0.000494815,0.0001806728,0.00007418977,0.003337731],"study_design_scores_gemma":[0.000004592771,0.0002616922,0.9606734,0.00001537112,0.00003380552,0.0001839945,0.03791372,0.0003104305,0.0002043258,0.00003627927,0.000352271,0.00001011293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997539,0.00001114918,0.00004625709,0.000004560511,4.182321e-7,0.000006812011,0.00003421313,2.373444e-7,0.0001424525],"genre_scores_gemma":[0.9996543,0.00003133509,0.0001180217,0.000007816452,0.000001052444,0.00001486748,0.00007122328,0.000001121327,0.0001002224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01262843,"threshold_uncertainty_score":0.02510989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03596390080994134,"score_gpt":0.2690245075766066,"score_spread":0.2330606067666652,"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."}}