{"id":"W4390680419","doi":"10.23977/acss.2023.071103","title":"Automobile Marketing System Based on Digital Media Technology and \"Internet+\" Web Services","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital marketing; The Internet; Business; Internet presence management; Marketing; Marketing research; Return on marketing investment; Marketing mix modeling; Marketing management; Context (archaeology); Marketing strategy; Advertising; World Wide Web; Computer science; Marketing effectiveness","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004643143,0.0001739886,0.0002805126,0.001107755,0.0001020948,0.0003264482,0.0002188784,0.0001242468,0.000003608609],"category_scores_gemma":[0.00002088362,0.000151699,0.00002154813,0.001272619,0.00009942638,0.0007119024,0.0002114211,0.0001477943,0.00005230712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001472509,"about_ca_system_score_gemma":0.000005658236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003386104,"about_ca_topic_score_gemma":0.00003806726,"domain_scores_codex":[0.9988872,0.00001496601,0.0003513888,0.0003523721,0.0001377386,0.0002563813],"domain_scores_gemma":[0.9992967,0.0002622536,0.0001701693,0.0001924644,0.00006916459,0.000009214302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007692658,0.0001432681,0.6402286,0.005643244,0.00007289214,0.0002847989,0.0001448613,0.006812425,0.0002193858,0.150171,0.001918942,0.1942836],"study_design_scores_gemma":[0.0005304043,0.00002765799,0.003322189,0.001481338,0.000008460093,0.00001171116,0.0008537199,0.9724332,0.000006856599,0.0006452181,0.02044346,0.0002357645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875013,0.001532058,0.002937326,0.001092931,0.001123567,0.000421774,0.00001497317,0.00120962,0.004166477],"genre_scores_gemma":[0.9991695,0.00003265766,0.0001060196,0.0002475902,0.0003076668,0.00005989322,0.00003100931,0.00001805611,0.00002760509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9656208,"threshold_uncertainty_score":0.6186107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009088012967144753,"score_gpt":0.2202436965540789,"score_spread":0.2111556835869341,"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."}}