{"id":"W2032010649","doi":"10.1016/j.nlm.2011.09.007","title":"Eye tracking, strategies, and sex differences in virtual navigation","year":2011,"lang":"en","type":"article","venue":"Neurobiology of Learning and Memory","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":187,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Canadian Institutes of Health Research","keywords":"Landmark; Task (project management); Gaze; Tracking (education); Artificial intelligence; Psychology; Eye tracking; Computer vision; Variation (astronomy); Computer science; Cognitive psychology; Communication","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007520837,0.00005820383,0.00009827725,0.00005152582,0.00002296384,0.000005914612,0.00001913653,0.00006442799,0.00002010324],"category_scores_gemma":[0.00001286307,0.00005679969,0.000007759389,0.00003807775,0.00007165413,0.00007582301,0.000006950867,0.0001654928,0.00000100648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002285045,"about_ca_system_score_gemma":0.000005034801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002585444,"about_ca_topic_score_gemma":0.00001019312,"domain_scores_codex":[0.9996621,0.0000550947,0.0001049314,0.00008666251,0.00002034289,0.00007087224],"domain_scores_gemma":[0.9998856,0.00003753199,0.00002569605,0.0000227858,0.000009496976,0.0000189006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008887967,0.00007668034,0.5273272,0.0002445909,0.00004105157,0.0000148576,0.02104178,0.001045921,0.2550443,0.0008501412,0.00001873546,0.1942059],"study_design_scores_gemma":[0.001153849,0.0008892536,0.9329976,0.0001473309,0.00002250442,0.00002028484,0.008216301,0.006416266,0.0491583,0.0004970103,0.0001736988,0.0003075818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981201,0.0001142219,0.000134421,0.00000433109,0.0000776415,0.00003814967,6.23304e-7,0.00005196618,0.001458556],"genre_scores_gemma":[0.9997748,0.0001210381,0.0000306902,0.000007082889,0.00001246309,0.00000249697,0.000009473659,0.000005365077,0.00003662909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4056704,"threshold_uncertainty_score":0.2316224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177060124874384,"score_gpt":0.2376455602775318,"score_spread":0.215874959028788,"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."}}