{"id":"W70934647","doi":"","title":"Assessment of TV advertisement effectiveness through audience eye movements","year":2011,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interview; Advertising; Context (archaeology); Quality (philosophy); Eye movement; Computer science; Psychology; Applied psychology; Artificial intelligence; Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009027063,0.0003942129,0.000644319,0.001024116,0.0005130379,0.00004423513,0.001007163,0.0004767122,0.002778029],"category_scores_gemma":[0.00003092509,0.0004476161,0.0003382605,0.001108167,0.0003474284,0.0002584515,0.0001966857,0.00109232,0.0001614657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118417,"about_ca_system_score_gemma":0.0008916835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02899232,"about_ca_topic_score_gemma":0.004418289,"domain_scores_codex":[0.994708,0.001848151,0.0004567771,0.001081923,0.001067092,0.0008380748],"domain_scores_gemma":[0.9975905,0.0002855535,0.0003885843,0.001005984,0.0004874299,0.0002419417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009267786,0.004910167,0.6933964,0.002273132,0.003586571,0.004054301,0.01418519,0.00002651207,0.1223492,0.134475,0.005819531,0.005656137],"study_design_scores_gemma":[0.001318973,0.001263067,0.9712283,0.0002759798,0.00009167841,0.000003651886,0.005827859,0.000008374628,0.01035263,0.0006572428,0.008562094,0.0004101279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5275717,0.00007454109,0.0002188312,0.000008134313,0.001507768,0.0008001975,0.00001306878,0.00005393113,0.4697518],"genre_scores_gemma":[0.8402278,0.0001220131,0.00003639719,0.000006912477,0.0001168845,0.00003449807,0.00008132974,0.00004630657,0.1593278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3126561,"threshold_uncertainty_score":0.9997976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05509520891169546,"score_gpt":0.3793168977415337,"score_spread":0.3242216888298382,"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."}}