{"id":"W2118941095","doi":"10.1109/icme.2011.6011961","title":"SmartAd: A smart system for effective advertising in online videos","year":2011,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Relevance (law); Revenue; Online advertising; Online video; Advertising; Multimedia; World Wide Web; The Internet; Business","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":[0.0008058575,0.0008499803,0.001039773,0.00242688,0.0005313022,0.001422957,0.001515991,0.001047398,0.01184933],"category_scores_gemma":[0.002213895,0.0004593054,0.0003595696,0.001026976,0.0003564131,0.003222014,0.001304723,0.0007760408,0.005100982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005406873,"about_ca_system_score_gemma":0.0004902016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002497046,"about_ca_topic_score_gemma":0.002961219,"domain_scores_codex":[0.9994934,0.00008025151,0.00004548785,0.0001496507,0.0001776816,0.00005356553],"domain_scores_gemma":[0.9988837,0.0003766195,0.0001038518,0.000255069,0.0002369046,0.000143868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001958086,0.001109701,0.005485592,0.0007492751,0.0001868801,0.0005813024,0.0004749282,0.002796448,0.05042446,0.005081864,0.09799864,0.8331528],"study_design_scores_gemma":[0.0009744196,0.001775376,0.01809925,0.000175909,0.0004336976,0.002423094,0.0005114297,0.5551849,0.1221637,0.01368654,0.2840877,0.0004840083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1044133,0.003891035,0.5446522,0.00092389,0.0008153195,0.002298028,0.004773814,0.3006006,0.03763175],"genre_scores_gemma":[0.5909415,0.001422429,0.3568779,0.001493429,0.0008007379,0.001060332,0.00661283,0.002646097,0.03814473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01184933,"threshold_uncertainty_score":0.03963989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688667797623108,"score_gpt":0.2343794307493694,"score_spread":0.2174927527731383,"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."}}