{"id":"W4283830273","doi":"10.54691/bcpbm.v20i.1109","title":"Analysis of Xiaohongshu’s Marketing Strategies","year":2022,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"SWOT analysis; Marketing; Competition (biology); Business; Context (archaeology); Digital marketing; The Internet; Marketing strategy; Marketing mix; Marketing research; Field (mathematics); Computer science; World Wide Web; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008008663,0.0002012923,0.0003505254,0.002260634,0.0004666611,0.0001145028,0.0006295475,0.0000393943,0.001997132],"category_scores_gemma":[0.00003691757,0.000217216,0.0001376185,0.009650667,0.0001135079,0.0006525499,0.001137657,0.0001646308,0.00004166298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004833286,"about_ca_system_score_gemma":0.00001589516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005749096,"about_ca_topic_score_gemma":0.0001221161,"domain_scores_codex":[0.9983802,0.00002082793,0.0004789578,0.0003685204,0.0004351579,0.0003163323],"domain_scores_gemma":[0.9987374,0.00003663446,0.000417547,0.0005594635,0.0002436081,0.000005358667],"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":[0.0001762174,0.001086249,0.056415,0.001191293,0.005066109,0.000137083,0.00009633967,0.03138794,0.000451863,0.4677743,0.021584,0.4146336],"study_design_scores_gemma":[0.0003841794,0.000001235614,0.8945113,0.00001981338,0.001575022,8.180551e-7,0.004956708,0.001748838,0.000004288228,0.002949189,0.09355908,0.0002895583],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9333402,0.0001111299,0.0006099344,0.00480449,0.0004379071,0.0004561103,0.0000152446,0.0004269343,0.05979808],"genre_scores_gemma":[0.9973778,0.0000146685,0.0004037099,0.000860182,0.00009935355,0.0001717158,0.000238345,0.00002692967,0.000807349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8380963,"threshold_uncertainty_score":0.9989152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487865989838228,"score_gpt":0.229357734174741,"score_spread":0.2144790742763588,"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."}}