{"id":"W2083780703","doi":"10.1145/1386109.1386115","title":"Video game design using an eye-movement-dependent model of visual attention","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Eye movement; Fixation (population genetics); Covert; Computer science; Task (project management); Artificial intelligence; Computer vision; Engineering","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":[0.000397372,0.0006084382,0.0003883487,0.0003687198,0.0001448019,0.0006909878,0.0007599856,0.0005829617,0.001243126],"category_scores_gemma":[0.001648291,0.000301085,0.0005149154,0.0001715082,0.0003317736,0.0007669609,0.0003358605,0.0004912305,0.0001635545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000813862,"about_ca_system_score_gemma":0.0003618868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005985763,"about_ca_topic_score_gemma":0.005184234,"domain_scores_codex":[0.9998261,0.00006602247,0.000006902326,0.00005036688,0.00003003459,0.00002060866],"domain_scores_gemma":[0.9996213,0.0002444609,0.00004966894,0.00001984134,0.00004427077,0.00002041619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003933335,0.0002786835,0.004791849,0.0002290924,0.0002592906,0.0002855787,0.0005648653,0.832777,0.0559762,0.04186271,0.001186801,0.06139476],"study_design_scores_gemma":[0.00001306398,0.00007849825,0.001104079,0.000004163795,0.00001713879,0.00002292907,0.00000988225,0.9946931,0.0006758437,0.003162525,0.000211448,0.00000731531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1849818,0.0003913078,0.8081566,0.0002640824,0.00005326998,0.000198248,0.00008441265,0.0001999688,0.005670406],"genre_scores_gemma":[0.9582921,0.0001998519,0.03884069,0.00004869075,0.00001937043,0.0001429627,0.00003425214,0.00001713363,0.002404914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005985763,"threshold_uncertainty_score":0.01190186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09513557724279678,"score_gpt":0.346330256973272,"score_spread":0.2511946797304752,"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."}}