{"id":"W2793897905","doi":"10.21037/aes.2018.ab055","title":"AB055. Eye movements in the dark: saccades to non-visual targets","year":2018,"lang":"en","type":"article","venue":"Annals of Eye Science","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Saccade; Saccadic masking; Eye movement; Fixation (population genetics); Saccadic suppression of image displacement; Proprioception; Psychology; Computer vision; Sensory system; Computer science; Cognitive psychology; Neuroscience; Medicine","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":[0.001894438,0.0001149779,0.0001464002,0.0003551506,0.0002283699,0.0001124411,0.003203764,0.00004043401,0.000006637791],"category_scores_gemma":[0.0002981071,0.00008163044,0.00003660132,0.00217919,0.0008360472,0.0004901621,0.0005001128,0.0001247412,0.00009085151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001203384,"about_ca_system_score_gemma":0.0001146405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008782143,"about_ca_topic_score_gemma":0.00002401488,"domain_scores_codex":[0.9981352,0.00004047692,0.0002355023,0.000485813,0.0005691054,0.0005339161],"domain_scores_gemma":[0.9988942,0.00005314526,0.00009592254,0.0006022846,0.0002760445,0.00007840789],"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":[0.00004746338,0.001470014,0.1664146,0.00004082757,0.00003275879,0.0000696886,0.02393704,0.000118698,0.4158494,0.0803829,0.01831217,0.2933244],"study_design_scores_gemma":[0.0001294848,0.0006009418,0.8053765,0.00005052779,7.526317e-7,0.000001185764,0.0002024407,0.002368051,0.1817697,0.007216473,0.002102214,0.0001817919],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669143,0.00003230659,0.02163557,0.006662202,0.0002590563,0.0001547905,0.000001780449,0.00005194942,0.004288035],"genre_scores_gemma":[0.9918969,0.000005039154,0.004955262,0.002997913,0.00003631493,0.000009360674,1.623429e-7,0.000003072109,0.00009592526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6389619,"threshold_uncertainty_score":0.5953443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04356942246156628,"score_gpt":0.3823172955026343,"score_spread":0.338747873041068,"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."}}