{"id":"W4411618251","doi":"10.51847/plzqnbapxi","title":"10.51847/plzQnBapxI","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Customer churn and segmentation","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Artificial neural network; Computer science; Business; Artificial intelligence; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008062192,0.0014638,0.0007581052,0.00209907,0.001069849,0.003169947,0.001330658,0.003204335,0.9313283],"category_scores_gemma":[0.001636192,0.0004960201,0.0005110194,0.002669775,0.0007765712,0.00275142,0.002160498,0.001546849,0.934841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001183779,"about_ca_system_score_gemma":0.000731395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00430633,"about_ca_topic_score_gemma":0.002689718,"domain_scores_codex":[0.9995006,0.00005697269,0.00004259207,0.0001510654,0.0001708854,0.0000779639],"domain_scores_gemma":[0.9988723,0.0002686479,0.00006908138,0.0002024149,0.00039527,0.0001921669],"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":[0.0002746743,0.0002049387,0.001485266,0.0003959276,0.00001877486,0.000306308,0.0001273939,0.0007483488,0.004148645,0.007717001,0.1672343,0.8173384],"study_design_scores_gemma":[0.00007255115,0.0001105219,0.001990789,0.0002357177,0.00001913817,0.0004652722,0.0001699375,0.003287623,0.001708841,0.003422658,0.9884863,0.00003077135],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004723176,0.001167793,0.01150737,0.002107522,0.001016521,0.0002443159,0.002313648,0.004897771,0.9720219],"genre_scores_gemma":[0.009402329,0.0005563984,0.004232658,0.000560572,0.0001119314,0.000123433,0.001906733,0.00052532,0.9825805],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0686717,"threshold_uncertainty_score":0.09795177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008553437706484111,"score_gpt":0.1791730865487025,"score_spread":0.1706196488422184,"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."}}