{"id":"W2612949480","doi":"10.1007/s10479-017-2512-5","title":"On the optimality of coupon books","year":2017,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Coupon; Market share; Business; Marketing; Set (abstract data type); Advertising; Action (physics); Computer science; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002627801,0.00006351767,0.0001059597,0.0001839158,0.0008653199,0.0003753209,0.0007046335,0.00002580021,0.0009201325],"category_scores_gemma":[0.001048453,0.00004341479,0.00006008373,0.0001161974,0.0003207239,0.0004951047,0.0003417707,0.0001359165,0.0001507507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005467148,"about_ca_system_score_gemma":0.00002561496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001691652,"about_ca_topic_score_gemma":0.0001706727,"domain_scores_codex":[0.9988968,0.00003907864,0.0001979236,0.0001385568,0.0005326686,0.0001949137],"domain_scores_gemma":[0.99831,0.00008750115,0.00006402276,0.0007924103,0.0007375363,0.000008479337],"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":[0.00003706278,0.0001549871,0.0008035377,0.00006536694,0.00003132771,0.000001458533,0.00005142006,0.0008064695,0.0006087481,0.9024848,0.09370368,0.001251097],"study_design_scores_gemma":[0.001713391,0.0004601083,0.1103131,0.0006318102,0.00004814184,5.798236e-7,0.003584962,0.178831,0.03923215,0.0659264,0.598524,0.0007344151],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.655951,0.00003778889,0.00004545717,0.02847776,0.0001002301,0.0004416635,0.000005427493,0.00001034095,0.3149303],"genre_scores_gemma":[0.9955713,0.00003017045,0.00002242267,0.0008409535,0.0001722587,0.000035525,0.000006185001,0.000007581748,0.00331359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8365585,"threshold_uncertainty_score":0.9999931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4409024405804666,"score_gpt":0.4539300486181374,"score_spread":0.01302760803767083,"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."}}