{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002502027,0.0003675654,0.000509585,0.0003914437,0.0002539481,0.0003602006,0.0002036583,0.0006808183,0.005038962],"category_scores_gemma":[0.003418082,0.0001466069,0.0002104283,0.0002735031,0.00008343022,0.0003809939,0.0003472117,0.0004451503,0.0008635354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000223036,"about_ca_system_score_gemma":0.0002738182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003094613,"about_ca_topic_score_gemma":0.002484729,"domain_scores_codex":[0.9997813,0.00003020231,0.00001542692,0.00006447978,0.00005833262,0.00005034359],"domain_scores_gemma":[0.9993861,0.0003240067,0.00004831774,0.00004816537,0.000132108,0.00006121954],"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":[0.004454225,0.0002590665,0.0112057,0.0002741459,0.00005442918,0.0003203464,0.0004012436,0.0009244122,0.893674,0.0002590092,0.003407607,0.08476599],"study_design_scores_gemma":[0.0003133245,0.001979546,0.7538503,0.00006485103,0.0001966465,0.001695426,0.0005756291,0.05060819,0.1859493,0.0008177638,0.003873692,0.00007535431],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879379,0.0003040974,0.005697493,0.0001623648,0.000204625,0.0001218546,0.001018815,0.000320254,0.004232756],"genre_scores_gemma":[0.9900732,0.0002014878,0.00391868,0.0001734027,0.00004414438,0.00009331225,0.0008692347,0.0001030169,0.004523514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005038962,"threshold_uncertainty_score":0.01685703,"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."}}