{"id":"W4399199685","doi":"10.1145/3656650.3656694","title":"Encouraging Disengagement: Using Eye Tracking to Examine Attention with Different Levels of Juicy Design","year":2024,"lang":"en","type":"article","venue":"","topic":"Mind wandering and attention","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Disengagement theory; Saccade; Eye tracking; Psychology; Cognitive psychology; Pupil size; Stimulus (psychology); Smooth pursuit; Task (project management); Eye movement; Social psychology; Computer science; Pupil; Artificial intelligence; Neuroscience; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002256204,0.000126845,0.000124498,0.000171227,0.0001166668,0.000121141,0.00009101891,0.00002050011,0.0001213123],"category_scores_gemma":[0.0000522528,0.00008955694,0.00004403975,0.0002970209,0.00002569852,0.0002029142,0.00004009895,0.00009653257,0.000009262125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004027748,"about_ca_system_score_gemma":0.00001420889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001058026,"about_ca_topic_score_gemma":0.000002141016,"domain_scores_codex":[0.9988883,0.0001017559,0.0001953308,0.000344805,0.000269455,0.0002003746],"domain_scores_gemma":[0.999642,0.0001058194,0.00003972909,0.0001357991,0.00001895203,0.00005765926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000114898,0.00004052927,0.0006604656,0.00009395591,0.000006850593,0.00001724276,0.0003652091,0.002114831,0.9831804,0.0004297242,0.00001151388,0.01306779],"study_design_scores_gemma":[0.0002645943,0.0001543488,0.02375268,0.0007554353,0.00005486855,0.0000135699,0.000336166,0.07538144,0.8988881,0.0001303312,0.00003960207,0.0002288278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.587033,0.0000123845,0.4123446,0.00009157789,0.0001160916,0.0001385134,0.000002170301,0.00006458483,0.0001970326],"genre_scores_gemma":[0.9973872,0.000003283638,0.001474524,0.00004270475,0.00004538582,0.000006973729,6.315593e-7,0.00001985256,0.00101941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.41087,"threshold_uncertainty_score":0.3652026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1553985118229174,"score_gpt":0.334657226576218,"score_spread":0.1792587147533007,"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."}}