{"id":"W4386639009","doi":"10.54254/2754-1169/23/20230369","title":"Analysis of Sephora's Market","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Marketing and Advertising Strategies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"SWOT analysis; Marketing; Business; Competition (biology); Beauty; Marketing strategy; Loyalty business model; Marketing management; Loyalty; Marketing mix; Political science","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":[0.0003733633,0.0002098779,0.0002023425,0.002927655,0.0007213224,0.00253275,0.0002989863,0.0003537927,0.01305489],"category_scores_gemma":[0.00133005,0.0001034737,0.0003621969,0.002328749,0.0004591623,0.001569616,0.0006102665,0.0004034975,0.001505819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330597,"about_ca_system_score_gemma":0.00100811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005529698,"about_ca_topic_score_gemma":0.00662128,"domain_scores_codex":[0.9997333,0.00003705442,0.00001080619,0.00004068347,0.0001151497,0.0000629623],"domain_scores_gemma":[0.9990454,0.0004154364,0.0001263348,0.00003657024,0.0002883198,0.00008788823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000947285,0.0009021746,0.2416581,0.0009667159,0.0001195985,0.007065261,0.01179803,0.01592524,0.01774633,0.3806551,0.0378028,0.2844133],"study_design_scores_gemma":[0.0000700786,0.0008525621,0.5669405,0.0004602426,0.0001374071,0.002364893,0.05578922,0.132636,0.01300178,0.04290999,0.1846572,0.0001801088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8016981,0.0003073507,0.003263263,0.0006182344,0.0000287764,0.0002239648,0.001936453,0.00007033318,0.1918536],"genre_scores_gemma":[0.97821,0.0003314437,0.001729816,0.00007453462,0.00001451024,0.00005862845,0.001156403,0.00002005808,0.01840461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01305489,"threshold_uncertainty_score":0.04367292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118458539653832,"score_gpt":0.2615556090999969,"score_spread":0.2497097551346137,"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."}}