{"id":"W4231914801","doi":"10.1007/978-3-319-14346-0_7","title":"Flicker Sensitivity","year":2016,"lang":"en","type":"book-chapter","venue":"Handbook of Visual Display Technology","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Flicker fusion threshold; Flicker; Luminance; Computer vision; Computer science; Artificial intelligence; Refresh rate; Optics; Physics; Computer graphics (images)","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":[0.0002282587,0.0010336,0.0007652897,0.001386115,0.0004726097,0.001714483,0.001539535,0.001157471,0.06738497],"category_scores_gemma":[0.0004729518,0.0004767153,0.0003780949,0.001361593,0.0005051221,0.001827362,0.001185245,0.001760908,0.0583843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006280599,"about_ca_system_score_gemma":0.0005677944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008482522,"about_ca_topic_score_gemma":0.001822301,"domain_scores_codex":[0.999743,0.00001420148,0.000008377508,0.00005838649,0.0001575065,0.00001851834],"domain_scores_gemma":[0.9998741,0.00003233302,0.00000680983,0.00002658422,0.00004834738,0.00001181801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004068712,0.00004513905,0.0001491365,0.0004323052,0.00001030709,0.00007779969,0.00008090374,0.0004005833,0.0325125,0.02305367,0.11761,0.825587],"study_design_scores_gemma":[0.000003924075,0.00003593988,0.001167149,0.0002176541,0.00001138616,0.001098681,0.00004705095,0.001096559,0.01658352,0.02136194,0.9583486,0.00002762123],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002967194,0.1048654,0.1644557,0.001065804,0.002320617,0.0001080856,0.001674396,0.005773757,0.7167691],"genre_scores_gemma":[0.02514989,0.04567042,0.04223686,0.0009421495,0.0003878473,0.0001106188,0.002022739,0.0009508347,0.8825286],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06738497,"threshold_uncertainty_score":0.2254251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0344463698908005,"score_gpt":0.3150657058724425,"score_spread":0.280619335981642,"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."}}