{"id":"W4417477703","doi":"10.1002/eng2.70555","title":"Advertisement Image Classification—Visual ( <scp>RESNET</scp> ) Versus Textual ( <scp>BERT</scp> ) Features: An Experimental Study","year":2025,"lang":"en","type":"article","venue":"Engineering Reports","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Conestoga College","funders":"","keywords":"Newspaper; Set (abstract data type); Encoder; Transformer; The Internet; Contextual image classification","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":[0.001607004,0.001607484,0.0008011383,0.001040877,0.0004282575,0.001081106,0.0009895806,0.001135097,0.002859176],"category_scores_gemma":[0.003431193,0.0003015421,0.0008400833,0.0006759266,0.0005471975,0.001304656,0.0006593768,0.001394884,0.001494941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007075014,"about_ca_system_score_gemma":0.000530621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01259402,"about_ca_topic_score_gemma":0.00961395,"domain_scores_codex":[0.9991818,0.0002168395,0.00007509362,0.0002019691,0.0001758359,0.0001485217],"domain_scores_gemma":[0.9979002,0.001015068,0.0001628618,0.0002779412,0.0004899966,0.0001538315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01035156,0.00989598,0.05281007,0.002030169,0.001074664,0.001347624,0.0008042211,0.08621428,0.06893325,0.001563106,0.03971356,0.7252615],"study_design_scores_gemma":[0.0003448098,0.003793937,0.04765714,0.0001903211,0.0006488179,0.0005910337,0.001166902,0.8781015,0.06074758,0.001035723,0.005603852,0.0001183448],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800811,0.00144917,0.00907803,0.0003517995,0.0004212143,0.0002850812,0.001352041,0.001180195,0.005801435],"genre_scores_gemma":[0.973875,0.0005830702,0.01614603,0.0001925589,0.0001303972,0.0001751369,0.004574448,0.0001197411,0.004203578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01259402,"threshold_uncertainty_score":0.0250414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143207086053444,"score_gpt":0.2894027489401498,"score_spread":0.2750820403348054,"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."}}