{"id":"W2008836539","doi":"10.7490/f1000research.1477.1","title":"Eye Movement in Face Change Detection Task","year":2011,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Open peer review; Plant biology; Face (sociological concept); Task (project management); Movement (music); Neuroscience; Eye movement; Optometry; Medicine; Biology; Physiology; Physical medicine and rehabilitation; Engineering; Art; Aesthetics; Philosophy","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":[0.00009384373,0.00005444148,0.00005600333,0.0001082124,0.00002606766,0.00001070198,0.0002892844,0.00004172415,0.00001499255],"category_scores_gemma":[0.000005719948,0.00004719302,0.00001457469,0.0002484505,0.00001621122,0.0001433478,0.00009916443,0.00007278217,0.00008558043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002616444,"about_ca_system_score_gemma":0.000003756417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003346569,"about_ca_topic_score_gemma":0.0002834809,"domain_scores_codex":[0.9995151,0.00001406064,0.00007752754,0.0001847781,0.00005987099,0.0001486662],"domain_scores_gemma":[0.9997239,0.000004074102,0.00002262883,0.0002176743,0.00001268204,0.00001906051],"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":[0.000004695924,0.0002434096,0.04436952,0.000007382708,0.000008755173,0.00003124313,0.002847871,0.000001273731,0.01267529,0.1093521,0.00006491402,0.8303936],"study_design_scores_gemma":[0.0003165697,0.0002087462,0.8550397,0.00001173229,0.000001531086,0.000002086321,0.0001274706,0.007404834,0.1217766,0.01334408,0.001563101,0.0002035579],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2447694,0.00003120856,0.747008,0.0006009805,0.0002161516,0.0001213258,2.394564e-7,0.000440665,0.006811996],"genre_scores_gemma":[0.9916545,0.000003790919,0.007760539,0.0003012825,0.000008775139,0.0000292587,9.31138e-8,0.000002269699,0.00023953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.83019,"threshold_uncertainty_score":0.1924475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05480269977649879,"score_gpt":0.2451757784758578,"score_spread":0.190373078699359,"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."}}