{"id":"W2093015399","doi":"10.1002/dir.20027","title":"Can we predict customer lifetime value?","year":2005,"lang":"en","type":"article","venue":"Journal of Interactive Marketing","topic":"Customer churn and segmentation","field":"Business, Management and Accounting","cited_by":246,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Profitability index; Customer lifetime value; Profit (economics); Customer profitability; Customer value; Marketing; Sample (material); Value (mathematics); Business; Econometrics; Computer science; Microeconomics; Customer retention; Economics; Finance","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":[],"category_scores_codex":[0.001309543,0.0001562527,0.0002321958,0.0004625015,0.0001111926,0.0002425473,0.0002060626,0.00004160384,0.0009701252],"category_scores_gemma":[0.0006459671,0.0001306527,0.0001728292,0.0002571325,0.00002699438,0.001723642,0.00008534864,0.0003534836,0.0001892674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001669649,"about_ca_system_score_gemma":0.00003137289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003702631,"about_ca_topic_score_gemma":0.00002003195,"domain_scores_codex":[0.9986493,0.00005808856,0.0005569846,0.0001310262,0.0003859645,0.0002186544],"domain_scores_gemma":[0.9982894,0.0002612314,0.000953435,0.00008832412,0.0003824185,0.00002517435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005425933,0.0009010389,0.09187035,0.0004661689,0.0009430458,0.0002184149,0.002477387,0.001758515,0.02884487,0.001200752,0.1716799,0.6942137],"study_design_scores_gemma":[0.004624183,0.00008913168,0.1068427,0.002084726,0.0005137793,0.0002939992,0.00800389,0.02524159,0.002494776,0.0006165529,0.8482726,0.0009220646],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8598576,0.0002442125,0.0003163947,0.01293592,0.001459968,0.0001759952,0.000002392847,0.00005075253,0.1249567],"genre_scores_gemma":[0.9922853,0.00003795886,0.0006997605,0.001755299,0.004445164,0.000001938928,0.000002848112,0.00002516893,0.0007466279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6932916,"threshold_uncertainty_score":0.9999431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001644444592861,"score_gpt":0.2453457079815457,"score_spread":0.2353292635356171,"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."}}