{"id":"W4235841353","doi":"10.4018/978-1-59140-557-3.ch175","title":"Profit Mining","year":2005,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Customer churn and segmentation","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Profit (economics); Computer science; Statistic; Data mining; Obstacle; Operations research; Engineering; Economics; Microeconomics; Mathematics; Geography; Statistics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008886604,0.00035675,0.000298814,0.0001322166,0.0001208089,0.000300712,0.0002307697,0.0002393611,0.0005027555],"category_scores_gemma":[0.000008644321,0.0003632224,0.0001692644,0.0000246522,0.00004589229,0.0002318257,0.0001551724,0.0001559464,0.002679082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001464904,"about_ca_system_score_gemma":0.0000391603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008450404,"about_ca_topic_score_gemma":0.0001942961,"domain_scores_codex":[0.9986424,0.000001621569,0.0003277783,0.0003793105,0.0003662587,0.0002825769],"domain_scores_gemma":[0.9993088,0.000007632963,0.0003036086,0.0002578662,0.0001032419,0.000018871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002100026,0.000003637688,0.0001819228,0.00007394596,0.00004501333,0.00002711879,0.00001457823,0.000002103575,0.00001082881,0.9322433,0.01852933,0.04884718],"study_design_scores_gemma":[0.0005939929,0.000009520807,0.0002401554,0.0002462355,0.000214912,0.00001031296,0.00004475052,0.0001007557,0.000007961436,0.06753686,0.9302889,0.0007056529],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008615534,0.000142407,0.00004319894,0.0001733042,0.0006035613,0.0003181548,0.00001332221,0.0002361881,0.9976083],"genre_scores_gemma":[0.1420105,0.000003340199,0.000392634,0.007095832,0.007679855,0.00002591237,0.0000618417,0.0001171435,0.8426129],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9117596,"threshold_uncertainty_score":0.999882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02510708508341046,"score_gpt":0.2391849222193618,"score_spread":0.2140778371359513,"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."}}