{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005257169,0.0001831042,0.0002241478,0.0005043965,0.0001550044,0.0006568368,0.0002653646,0.0003535429,0.004053811],"category_scores_gemma":[0.00332837,0.0001752746,0.0001615014,0.0003010265,0.0003094949,0.0004553226,0.0002887801,0.0003095746,0.0003054031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001527389,"about_ca_system_score_gemma":0.0002197689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002476239,"about_ca_topic_score_gemma":0.003642505,"domain_scores_codex":[0.9997965,0.00004128327,0.00001577289,0.00006355922,0.00005407846,0.00002891775],"domain_scores_gemma":[0.997945,0.0008925796,0.0005418712,0.0002375897,0.0001836051,0.0001993716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005943516,0.000829048,0.7258229,0.0001350221,0.0003529509,0.0005886164,0.002492168,0.0006959309,0.1799074,0.001725721,0.0008426261,0.08066402],"study_design_scores_gemma":[0.00003092132,0.0003423233,0.9955668,0.000008207991,0.00003741362,0.0002944258,0.0002616997,0.0004143602,0.002148754,0.0004872191,0.0003943119,0.00001367565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979722,0.0002838165,0.0003193982,0.00004382448,0.00001475829,0.000003930839,0.0001596608,0.000006282265,0.001196084],"genre_scores_gemma":[0.9973747,0.0001193501,0.0002443981,0.00003995245,0.000006185623,0.000007753509,0.0001346617,0.00002095707,0.002052116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004053811,"threshold_uncertainty_score":0.01356131,"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."}}