{"id":"W3017330825","doi":"10.18568/internext.v15i2.557","title":"B2C E-commerce for Home Appliance in The Brazilian Market: A Cost Efficiency Investigation through a DEA-OCT Model","year":2020,"lang":"en","type":"article","venue":"Internext","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competitor analysis; Data envelopment analysis; Inventory management; Business; Quarter (Canadian coin); Inventory control; E-commerce; Relevance (law); Originality; Marketing; Operations management; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002294094,0.0008832706,0.0008126737,0.00112526,0.0005810834,0.002521929,0.00121559,0.00122885,0.004946068],"category_scores_gemma":[0.004814432,0.0003497667,0.001368313,0.001125413,0.0008528015,0.001579306,0.001208776,0.001173491,0.0002446346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003339931,"about_ca_system_score_gemma":0.00243678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05273554,"about_ca_topic_score_gemma":0.02449466,"domain_scores_codex":[0.9992812,0.0003342271,0.00002525123,0.00009699979,0.000119861,0.0001424951],"domain_scores_gemma":[0.9969374,0.002194491,0.0002904945,0.000105836,0.0003710302,0.0001008541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001784206,0.0003047526,0.008195783,0.000166657,0.0000723354,0.0002886977,0.0001092715,0.9070385,0.0004271838,0.06850162,0.00118036,0.0135365],"study_design_scores_gemma":[0.00001478438,0.00006469647,0.001179661,0.00001994203,0.00003827897,0.00002512535,0.00009763725,0.993619,0.00007103167,0.004019569,0.0008427078,0.000007505605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7068161,0.002277434,0.2035916,0.002509185,0.0001535905,0.0005539779,0.001081637,0.0001178465,0.08289853],"genre_scores_gemma":[0.9823501,0.0007060075,0.01150896,0.00007537012,0.00002936392,0.0001486531,0.0002270874,0.00001377702,0.004940623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05273554,"threshold_uncertainty_score":0.1048571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07095403042764634,"score_gpt":0.2441320728790566,"score_spread":0.1731780424514103,"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."}}