{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007722044,0.0001873862,0.0001560934,0.001782283,0.001219849,0.001566842,0.0002622303,0.0002758824,0.004769794],"category_scores_gemma":[0.001336975,0.0001319876,0.0002574786,0.002697448,0.0003672221,0.00104766,0.000470964,0.0003371284,0.0004370587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002161927,"about_ca_system_score_gemma":0.002274659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007766766,"about_ca_topic_score_gemma":0.01520883,"domain_scores_codex":[0.9995152,0.00008100451,0.00002351438,0.00005284916,0.0002177984,0.0001096437],"domain_scores_gemma":[0.999009,0.0003731792,0.0001015854,0.00002706754,0.0003224163,0.000166725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002604948,0.000377893,0.4790196,0.0005805887,0.0001667376,0.00184177,0.05023205,0.003240439,0.01040318,0.05496202,0.007932706,0.3909825],"study_design_scores_gemma":[0.00002640791,0.0004402955,0.7868878,0.0001412855,0.0001511897,0.0006553277,0.07301433,0.02413027,0.007898967,0.007297899,0.09924376,0.0001124782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616058,0.0001970119,0.001073509,0.000362993,0.000008688456,0.0001065979,0.0001111718,0.00001937711,0.0365148],"genre_scores_gemma":[0.9855646,0.0002080666,0.001184147,0.00005533537,0.0000037184,0.00003997122,0.0001296093,0.000006881316,0.01280756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007766766,"threshold_uncertainty_score":0.01595658,"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."}}