{"id":"W4328095704","doi":"10.54691/bcpbm.v38i.4200","title":"Using RFM model to help mobile phone dealer to find their target customers in China","year":2023,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beijing; Business; Phone; Advertising; Marketing; China; Mobile phone; Quarter (Canadian coin); Consumption (sociology); Telecommunications; Computer science; Geography","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":[0.001181819,0.0005397214,0.0003741211,0.001483887,0.0005589357,0.001136258,0.0009388456,0.0005975147,0.00506621],"category_scores_gemma":[0.002076657,0.0002107056,0.0007316588,0.001071168,0.0002701835,0.001168501,0.0007780271,0.0003217671,0.0009087871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002178792,"about_ca_system_score_gemma":0.002352692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09026817,"about_ca_topic_score_gemma":0.04634685,"domain_scores_codex":[0.9993674,0.0002023502,0.00003401006,0.0001110657,0.0001667561,0.0001184196],"domain_scores_gemma":[0.999586,0.0001545037,0.00005464006,0.00002793803,0.0001486767,0.00002812388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000385078,0.0006551297,0.3491353,0.0003735644,0.000160741,0.0011301,0.003304266,0.2304749,0.002849251,0.02165826,0.01802982,0.3718436],"study_design_scores_gemma":[0.00003444056,0.0001705331,0.05443942,0.00004247086,0.0000723492,0.0001225295,0.001317461,0.9356508,0.0007156703,0.002819282,0.00457494,0.00004011339],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8860932,0.0004825865,0.06587515,0.001512045,0.00005171685,0.0003468961,0.000789858,0.0007503472,0.0440981],"genre_scores_gemma":[0.9781306,0.0002401161,0.01364476,0.00008913745,0.00001070124,0.0001559733,0.0005077323,0.0000302768,0.007190624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09026817,"threshold_uncertainty_score":0.1794855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04562344725184202,"score_gpt":0.2828747243074626,"score_spread":0.2372512770556206,"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."}}