{"id":"W2529056627","doi":"","title":"On the Aesthetic Appeal of Chinese TV Advertising","year":2016,"lang":"en","type":"article","venue":"Studies in sociology of science","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Advertising; Taste; Appeal; Aesthetics; Atmosphere (unit); Television advertising; Art; Business; Psychology; Political science; Law","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":[0.0006717969,0.0002979005,0.0001742374,0.001437023,0.001673419,0.002245532,0.0002649508,0.0003682003,0.007325292],"category_scores_gemma":[0.001953208,0.0001309054,0.0003367585,0.001359684,0.002126011,0.00114974,0.0007719966,0.0006155986,0.0002594178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00261016,"about_ca_system_score_gemma":0.0006503593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01266584,"about_ca_topic_score_gemma":0.01216269,"domain_scores_codex":[0.9995765,0.00009246659,0.00001817234,0.00004388422,0.0001983053,0.00007067012],"domain_scores_gemma":[0.9993103,0.0002528051,0.00008212014,0.00004903103,0.0002434481,0.00006230289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.001418591,0.0003706916,0.1292475,0.00147544,0.0001432104,0.005607438,0.07133362,0.002324643,0.02790965,0.4255772,0.02991456,0.3046775],"study_design_scores_gemma":[0.0001126898,0.0004554285,0.7596923,0.000595785,0.0004369688,0.002694828,0.03093421,0.01103579,0.005675007,0.06635139,0.1218098,0.0002058331],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.624833,0.003113892,0.001218647,0.002598018,0.0002402188,0.00007007961,0.00006685946,0.00002521023,0.3678341],"genre_scores_gemma":[0.9896764,0.0009285031,0.0001951653,0.0001873037,0.0001259138,0.00001035418,0.0000152597,0.000009776038,0.008851398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01266584,"threshold_uncertainty_score":0.02518421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0409420817226268,"score_gpt":0.3607554216118251,"score_spread":0.3198133398891983,"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."}}