{"id":"W203630873","doi":"10.1016/b978-008044980-7/50034-3","title":"Gaze fixation patterns during goal-directed locomotion while navigating around obstacles and a new route-selection model","year":2007,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Gaze; Fixation (population genetics); Computer science; Eye movement; Artificial intelligence; Selection (genetic algorithm); Visual search; Computer vision; Human–computer interaction","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":[0.0002833766,0.0003322747,0.0002979125,0.0002560211,0.0001429043,0.0004464907,0.0002868987,0.0004047712,0.001890039],"category_scores_gemma":[0.001384477,0.0002259756,0.0004546226,0.0002948702,0.0002214892,0.0003907392,0.0002107267,0.0003347333,0.0002543018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005937975,"about_ca_system_score_gemma":0.0003123319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01988897,"about_ca_topic_score_gemma":0.02217271,"domain_scores_codex":[0.99994,0.00001700581,0.000002469325,0.00002201761,0.000009108511,0.000009415759],"domain_scores_gemma":[0.9997361,0.0001837628,0.00002244866,0.00001701905,0.00002642605,0.00001416184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004328663,0.0004495797,0.1728592,0.0005075845,0.0009063265,0.0008308036,0.002711157,0.3198982,0.2351168,0.01388097,0.01269985,0.235811],"study_design_scores_gemma":[0.00005055237,0.0002054865,0.208052,0.00004553957,0.0001409285,0.0003308662,0.0002136911,0.7824011,0.00298389,0.004740499,0.0007819836,0.00005354422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536591,0.000985237,0.04025043,0.0003064175,0.00004773178,0.00002771946,0.0006099087,0.0001800264,0.003933464],"genre_scores_gemma":[0.9927171,0.0002467452,0.005119191,0.00001843506,0.000009394378,0.00001970066,0.0002603801,0.00003092947,0.001578036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01988897,"threshold_uncertainty_score":0.03954643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208325742857269,"score_gpt":0.238795172495952,"score_spread":0.2167119150673793,"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."}}