{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005137787,0.0005927819,0.0004076621,0.001375582,0.0007513293,0.0009510901,0.000563515,0.0004705888,0.009206804],"category_scores_gemma":[0.0007324492,0.0002371405,0.0003724614,0.0009057425,0.0002222474,0.001296207,0.0006717315,0.000290011,0.003286994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004749468,"about_ca_system_score_gemma":0.0008061616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002172048,"about_ca_topic_score_gemma":0.001228238,"domain_scores_codex":[0.9993324,0.0001118181,0.00004912432,0.0001153541,0.0003297958,0.00006154552],"domain_scores_gemma":[0.9995465,0.00006985561,0.00003715307,0.00005595312,0.0002330671,0.00005746982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009406545,0.001392066,0.02364037,0.0009220534,0.0002634328,0.0009219521,0.0006269702,0.005060597,0.07986116,0.01057518,0.06932159,0.8064739],"study_design_scores_gemma":[0.0008149472,0.002953831,0.06934735,0.0002707112,0.001227868,0.004045169,0.0007079945,0.2023735,0.1432345,0.006949357,0.5676078,0.0004670352],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.371944,0.003161413,0.3770994,0.001423613,0.0005964416,0.003411981,0.00193197,0.08335344,0.1570777],"genre_scores_gemma":[0.8392389,0.00119195,0.09796288,0.0007797246,0.0002648486,0.000910316,0.002774831,0.0007220581,0.05615452],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009206804,"threshold_uncertainty_score":0.03079981,"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."}}