{"id":"W3040647483","doi":"10.1155/2020/3095672","title":"“Buy Online, Pick Up in Store” under Fit Uncertainty: To Offer or Not to Offer","year":2020,"lang":"en","type":"article","venue":"Complexity","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Fundamental Research Funds for the Central Universities; Department of Education of Guizhou Province; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Computer science; Profit (economics); Product (mathematics); Channel (broadcasting); Benchmark (surveying); Service (business); E-commerce; Business; Marketing; Microeconomics; Mathematics; Economics","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":[0.002168614,0.0005377534,0.0007878345,0.0004314974,0.0006077876,0.002117272,0.0009773728,0.00132053,0.003984336],"category_scores_gemma":[0.01156442,0.0004473333,0.0007564844,0.0005562548,0.001468392,0.004136739,0.0009188855,0.001334532,0.0001965869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002348768,"about_ca_system_score_gemma":0.001187831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008760741,"about_ca_topic_score_gemma":0.007059101,"domain_scores_codex":[0.99899,0.0003748797,0.00002968085,0.0001802213,0.0001741072,0.0002511453],"domain_scores_gemma":[0.9940597,0.004144293,0.0009944602,0.0002071561,0.0002753936,0.0003189915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001682729,0.0007255127,0.03766541,0.0005977309,0.0002719066,0.001664586,0.0009082836,0.639637,0.005816886,0.23288,0.007820286,0.07032973],"study_design_scores_gemma":[0.000069122,0.0002615014,0.01285173,0.00006957092,0.0001314093,0.000266958,0.0007704883,0.9006394,0.001297382,0.08162023,0.001936674,0.00008552489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8357193,0.001628651,0.1258556,0.005782973,0.00007962337,0.0001824098,0.0003679541,0.0001450649,0.03023841],"genre_scores_gemma":[0.9940011,0.0003252016,0.004122246,0.0001224197,0.00002690089,0.00001799823,0.00004042719,0.00001111291,0.001332629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008760741,"threshold_uncertainty_score":0.01741952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3316828779730432,"score_gpt":0.357424645032783,"score_spread":0.02574176705973974,"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."}}