{"id":"W2903893429","doi":"10.1007/s00426-018-1131-3","title":"Unidirectional influence of vision on locomotion in multimodal spatial representations acquired from navigation","year":2018,"lang":"en","type":"article","venue":"Psychological Research","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Institute for Materials Science; Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Path integration; Adaptation (eye); Computer science; Path (computing); Computer vision; Coupling (piping); Human–computer interaction; Communication; Artificial intelligence; Psychology; Neuroscience; Engineering","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":[0.0005483435,0.00008406445,0.0001081142,0.0002473929,0.00008370281,0.00002207525,0.0001329515,0.0001440786,0.0004296919],"category_scores_gemma":[0.0004115216,0.00007914058,0.00003146664,0.0007046975,0.0002231365,0.0001429052,0.00002592084,0.0002611441,0.0002552337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008756985,"about_ca_system_score_gemma":0.00000874134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005834656,"about_ca_topic_score_gemma":0.000121328,"domain_scores_codex":[0.9984456,0.0002466388,0.000288238,0.0002699802,0.0005462081,0.0002033655],"domain_scores_gemma":[0.9989887,0.00039196,0.00003035954,0.0001933366,0.0003284231,0.00006722329],"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":[0.00146095,0.001377241,0.02552262,0.00004007641,0.00003269242,0.00001953204,0.001177944,0.02772082,0.6832776,0.001283865,0.001667201,0.2564195],"study_design_scores_gemma":[0.0007517525,0.0005277074,0.9245973,0.0001241381,0.000001570721,9.170691e-7,0.00004254285,0.03499231,0.0327192,0.006048877,0.0001013473,0.00009232362],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923757,0.00001107268,0.002490948,0.0001661972,0.0001716163,0.0002715951,0.00002234355,0.00008662735,0.0044039],"genre_scores_gemma":[0.9991195,0.00002103826,0.0004673703,0.00002305785,0.000170945,0.00004763322,0.0001262788,0.00001023356,0.00001391403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8990747,"threshold_uncertainty_score":0.4704824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08851581251594418,"score_gpt":0.4516999111919706,"score_spread":0.3631840986760264,"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."}}