{"id":"W2086246671","doi":"10.1007/s00221-009-1923-1","title":"The effects of constraining eye movements on visually evoked steering responses during walking in a virtual environment","year":2009,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gaze; Eye movement; Fixation (population genetics); Kinematics; Psychology; Computer science; Physical medicine and rehabilitation; Computer vision; Visual feedback; Simulation; Artificial intelligence; Medicine; Physics","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":[0.003106802,0.0001722623,0.0002403894,0.0002528916,0.0009845194,0.00002409289,0.0003128836,0.0001312943,0.00003180302],"category_scores_gemma":[0.0006706634,0.0001433408,0.0000669836,0.0002211884,0.0002033785,0.0001160491,0.000232058,0.0008796551,0.00005895726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005548234,"about_ca_system_score_gemma":0.0001013946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004563096,"about_ca_topic_score_gemma":0.000008213927,"domain_scores_codex":[0.9951275,0.002182159,0.0005561539,0.0003757665,0.0008856069,0.0008728047],"domain_scores_gemma":[0.9964022,0.002974828,0.0001316336,0.0003473051,0.00002949906,0.0001145442],"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":[0.0009160173,0.0006108019,0.002532037,0.00006785734,0.00002020018,0.00003146033,0.008377059,0.000002376042,0.9821221,0.001558059,0.0001005188,0.003661479],"study_design_scores_gemma":[0.006041531,0.002527677,0.8358037,0.002010397,0.000002204131,0.000001030592,0.03230385,0.0001976762,0.1199599,0.0003253415,0.0005626358,0.0002639972],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939984,0.0005907801,0.000007002885,0.0003259648,0.0002018491,0.001367751,0.00000373892,0.00003192793,0.003472583],"genre_scores_gemma":[0.9958833,0.0001093672,0.00004635709,0.0001753366,0.00009791329,0.0002563645,0.000005591086,0.00002298842,0.003402823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8621622,"threshold_uncertainty_score":0.7572227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04027982659746071,"score_gpt":0.4444164973386827,"score_spread":0.4041366707412219,"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."}}