{"id":"W1999761024","doi":"10.3758/app.72.5.1311","title":"Isoluminant motion onset captures attention","year":2010,"lang":"en","type":"article","venue":"Attention Perception & Psychophysics","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Luminance; Stimulus (psychology); Animacy; Motion (physics); Computer vision; Artificial intelligence; Offset (computer science); Psychology; Computer science; Cognitive psychology; Communication","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002885053,0.0003118102,0.0002130122,0.0001892012,0.0006225917,0.0002596211,0.0002976299,0.0002500473,0.002203817],"category_scores_gemma":[0.00008548729,0.0003108034,0.0002590465,0.0005122747,0.0001984906,0.0008087503,0.00004428731,0.0006120403,0.004101682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000492862,"about_ca_system_score_gemma":0.00002671112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001879345,"about_ca_topic_score_gemma":0.0000260075,"domain_scores_codex":[0.9975427,0.0001741029,0.000438203,0.0008159179,0.0006134225,0.0004156888],"domain_scores_gemma":[0.998884,0.00003453421,0.0002461559,0.0005062002,0.0001494661,0.0001796094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003900636,0.0003140203,0.0004681784,0.0000221173,0.000002952129,0.000001920062,0.0002424674,0.000004497295,0.954357,0.002415707,0.001870346,0.04026178],"study_design_scores_gemma":[0.006305937,0.001094807,0.779294,0.0002853187,0.0002661694,0.000544538,0.003097144,0.02090221,0.08921415,0.06468986,0.03061956,0.003686281],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610717,0.000002105684,0.03123542,0.001123745,0.003446776,0.0003267122,0.00002724981,0.0004150917,0.002351211],"genre_scores_gemma":[0.9928613,0.00004443158,0.000926146,0.001708427,0.0006228531,0.00005573881,0.0001125406,0.00005515052,0.003613461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8651428,"threshold_uncertainty_score":0.9999344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03380083877803,"score_gpt":0.3215982839058924,"score_spread":0.2877974451278624,"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."}}