{"id":"W4255674036","doi":"10.4018/9781605660103.ch244","title":"Profit Mining","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Customer churn and segmentation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Profit (economics); Business; Economics; Microeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002180149,0.001197017,0.001030141,0.004715405,0.001136664,0.004609137,0.00234163,0.001071501,0.02393569],"category_scores_gemma":[0.009715144,0.0003923564,0.001092397,0.007092603,0.0006804577,0.004685748,0.001912139,0.001263348,0.01370339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001757823,"about_ca_system_score_gemma":0.001790336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001689865,"about_ca_topic_score_gemma":0.002014057,"domain_scores_codex":[0.9982351,0.0002498392,0.000116406,0.0004397871,0.0007799767,0.0001789026],"domain_scores_gemma":[0.9967288,0.001421443,0.0003653551,0.0004660033,0.0008658981,0.00015241],"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":[0.0002097722,0.0001940415,0.01310073,0.000904393,0.000138637,0.000430192,0.0002784996,0.014109,0.001013337,0.1094482,0.08505492,0.7751182],"study_design_scores_gemma":[0.00007986605,0.0001710949,0.01432532,0.0008191671,0.0001476477,0.001450032,0.001358793,0.1746518,0.007004917,0.4568211,0.34305,0.0001201495],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0594747,0.01928472,0.4920286,0.0120648,0.001326624,0.001721402,0.02466016,0.005298186,0.3841408],"genre_scores_gemma":[0.6656316,0.01589577,0.2054615,0.001424724,0.001243036,0.0009359354,0.02487733,0.0009097162,0.08362047],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02393569,"threshold_uncertainty_score":0.08007282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03664587174694313,"score_gpt":0.2336052005274369,"score_spread":0.1969593287804938,"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."}}