{"id":"W2074995870","doi":"10.3758/s13428-012-0294-x","title":"Capturing and evaluating blinks from video-based eyetrackers","year":2012,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Simon Fraser University","funders":"","keywords":"Computer science; Sensitivity (control systems); Computer vision; Artificial intelligence; Pupil; Workload; Contrast (vision); Plot (graphics); Psychology; Mathematics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.01205036,0.0001557569,0.0002191757,0.0004179067,0.0003513022,0.000192285,0.0008254247,0.0001877904,0.00003522826],"category_scores_gemma":[0.001435305,0.0001425423,0.00005698402,0.0006463371,0.0002956863,0.0003661217,0.00051122,0.0009699457,0.00003429527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009656904,"about_ca_system_score_gemma":0.000100456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003374987,"about_ca_topic_score_gemma":0.000007327969,"domain_scores_codex":[0.9954677,0.002225669,0.0002443401,0.0005187496,0.0006726329,0.0008709218],"domain_scores_gemma":[0.9967314,0.001959729,0.00006526714,0.0007569233,0.0002143068,0.0002723864],"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":[0.00000676956,0.0001403986,0.07564526,0.000009066084,0.000008682816,0.00001531827,0.0004852235,0.000002666165,0.08279234,0.001884787,0.00007600883,0.8389335],"study_design_scores_gemma":[0.0008844443,0.0002654829,0.8027774,0.00008021138,0.00003390407,0.00001723314,0.0003375096,0.01507482,0.1746081,0.0034612,0.002011672,0.0004480454],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6356411,0.0007313971,0.362218,0.0005577941,0.0002086533,0.0002173316,0.000003209935,0.0002412994,0.0001812339],"genre_scores_gemma":[0.5175104,0.000003266266,0.4822763,0.00002487048,0.00005266449,0.0000822211,0.000001555277,0.00001053491,0.00003819212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8384854,"threshold_uncertainty_score":0.5812706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4686376173035349,"score_gpt":0.6115095745346915,"score_spread":0.1428719572311565,"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."}}