{"id":"W4376171043","doi":"10.54254/2754-1169/4/2022912","title":"Research on the Marketing Strategy of Tesla Vehicle in China","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"The King's University; Western University","funders":"","keywords":"SWOT analysis; Marketing; Business; Product (mathematics); Mainstream; Rivalry; Promotion (chess); Quality (philosophy); Service (business); Marketing mix; Marketing strategy; Economics","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":[0.0008599463,0.0002802858,0.0001822752,0.001985329,0.001703247,0.001623185,0.0004184894,0.000412146,0.00538046],"category_scores_gemma":[0.0009980776,0.0001397628,0.0003143223,0.002276715,0.0006364238,0.001600881,0.0004032216,0.0003279843,0.0002972469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00737645,"about_ca_system_score_gemma":0.00613126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05545428,"about_ca_topic_score_gemma":0.06866535,"domain_scores_codex":[0.9995925,0.00006863922,0.0000230904,0.00005481813,0.0001291894,0.000131823],"domain_scores_gemma":[0.9993964,0.0001340825,0.0001114748,0.00001705765,0.0002227509,0.0001181472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003856898,0.0007854247,0.5162245,0.0009126783,0.0001272987,0.002816085,0.0685826,0.004705098,0.01517661,0.0875427,0.008288866,0.2944525],"study_design_scores_gemma":[0.00003914443,0.0007755103,0.8045938,0.0002918789,0.000211279,0.000506446,0.08775852,0.0192644,0.007206115,0.005445181,0.07379652,0.0001112281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691731,0.0004723743,0.00032811,0.000544489,0.000009843632,0.00005829215,0.00003971492,0.00001013935,0.02936384],"genre_scores_gemma":[0.9881474,0.0006298222,0.000270979,0.00006384316,0.000005633427,0.0000144524,0.00004357438,0.000002293813,0.01082191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05545428,"threshold_uncertainty_score":0.110263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019191698044376,"score_gpt":0.2957287095158583,"score_spread":0.2765370114714824,"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."}}