{"id":"W3008858078","doi":"10.1287/serv.2019.0250","title":"Product Return Episodes in Retailing","year":2019,"lang":"en","type":"article","venue":"Service Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Marketing; Product (mathematics); Profit (economics); New product development; Business; Economics; Computer science; 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":[0.001797424,0.0002036602,0.0003950523,0.002936984,0.0005977314,0.002169582,0.0005397762,0.0006284047,0.002443319],"category_scores_gemma":[0.01521576,0.0002179794,0.0003493422,0.003957683,0.00082335,0.002814035,0.001311429,0.0005655605,0.0004813732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009749918,"about_ca_system_score_gemma":0.0002805144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006853793,"about_ca_topic_score_gemma":0.009606263,"domain_scores_codex":[0.9975222,0.0007826344,0.0003269021,0.0003303438,0.0008389517,0.0001989818],"domain_scores_gemma":[0.985396,0.005948767,0.00611537,0.000859855,0.001059148,0.0006208892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001604184,0.0001536788,0.9660139,0.00007047571,0.0001026106,0.0002395732,0.001950583,0.001400029,0.0002875449,0.003285462,0.0009032823,0.02543242],"study_design_scores_gemma":[0.000004548075,0.0001356417,0.9853621,0.00004599832,0.0000314371,0.000423167,0.002662825,0.005271844,0.000262978,0.00261198,0.003155727,0.00003192528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927508,0.0005103713,0.001586698,0.0001241414,0.000008245112,0.00004526089,0.0006640899,0.000031264,0.00427911],"genre_scores_gemma":[0.9976327,0.000168021,0.0007523524,0.0000315896,0.00001109936,0.00002586249,0.0007168378,0.000009728616,0.0006517481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006853793,"threshold_uncertainty_score":0.01362777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181167222334077,"score_gpt":0.24064062938602,"score_spread":0.2225239071526123,"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."}}