{"id":"W2889355033","doi":"10.5539/ass.v14n9p107","title":"Services Marketing Mix of Starbucks Coffee in Bangkok, Thailand","year":2018,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Marketing and Advertising Strategies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Marketing; Business; Product (mathematics); Marketing mix; Advertising; Coffee shop","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":[],"consensus_categories":[],"category_scores_codex":[0.0002328832,0.0002161552,0.0001462139,0.0006322474,0.000619232,0.001075789,0.0001239764,0.0001637716,0.004244591],"category_scores_gemma":[0.0004606046,0.0002028289,0.0001880058,0.001126776,0.0002623131,0.0003874263,0.0003656674,0.0002471707,0.000335918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007018871,"about_ca_system_score_gemma":0.0005473204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166692,"about_ca_topic_score_gemma":0.0383758,"domain_scores_codex":[0.9997513,0.00005303155,0.00002634168,0.0000382811,0.00008190448,0.00004922217],"domain_scores_gemma":[0.9994765,0.00008388036,0.0001895233,0.00001021099,0.00007285019,0.0001670598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002479898,0.0001228608,0.9730132,0.0001820157,0.00003999548,0.001352692,0.004887505,0.0001182818,0.005728073,0.00009987201,0.0003985303,0.01380914],"study_design_scores_gemma":[0.000002327727,0.00009703448,0.9888325,0.00001979533,0.00001174714,0.0004618919,0.008868689,0.0002104806,0.0003135327,0.00002222763,0.001151289,0.000008570709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986494,0.00007887206,0.0000260632,0.00003519249,0.000001363739,0.000007619565,0.0001397402,0.000001926478,0.001059911],"genre_scores_gemma":[0.9986538,0.0001234855,0.00006785512,0.00001987738,0.000002197816,0.000005957557,0.0001357673,0.000002192026,0.0009889108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02166692,"threshold_uncertainty_score":0.04308158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008984678922994378,"score_gpt":0.2409231535694635,"score_spread":0.2319384746464691,"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."}}