{"id":"W2262488289","doi":"10.1123/mcj.9.3.242","title":"The Negotiation of Stationary and Moving Obstructions during Walking: Anticipatory Locomotor Adaptations and Preservation of Personal Space","year":2005,"lang":"en","type":"article","venue":"Motor Control","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":223,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Anticipation (artificial intelligence); Gait; Obstacle; Physical medicine and rehabilitation; Movement (music); Obstacle avoidance; Psychology; Preferred walking speed; Tracking (education); Action (physics); Computer science; Adaptation (eye); Cognitive psychology; Artificial intelligence; Robot; Neuroscience; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001898647,0.0001037451,0.0001476184,0.00009477145,0.0003566649,0.00003757324,0.00007581034,0.00004047042,0.0000102479],"category_scores_gemma":[0.0006384149,0.0000880478,0.00004095125,0.0001150785,0.0001567052,0.0005162164,0.00002273029,0.00008432824,7.150787e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002855952,"about_ca_system_score_gemma":0.00004270647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004603555,"about_ca_topic_score_gemma":0.00004061307,"domain_scores_codex":[0.9989047,0.000140034,0.0003316926,0.0002061172,0.0002651968,0.0001522598],"domain_scores_gemma":[0.9987258,0.0006908357,0.0002939052,0.0001164441,0.0001200014,0.00005304693],"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":[0.000180938,0.00004660819,0.007228218,0.00004660073,0.0000188878,5.044254e-7,0.002071065,0.0007307476,0.9702995,0.007268026,0.000004178635,0.01210466],"study_design_scores_gemma":[0.001657692,0.00007745651,0.7163761,0.00002630797,0.00003703551,0.000005881896,0.0004185174,0.2737733,0.006780927,0.0003296753,0.0004194976,0.00009769473],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918893,0.0003829206,0.005744145,0.001246358,0.00008042531,0.0005241769,0.00005142087,0.00002530176,0.00005592986],"genre_scores_gemma":[0.9989788,0.00008895092,0.0004995645,0.00004322562,0.00009041886,0.00005445503,0.000002064121,0.00001106731,0.0002314599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9635186,"threshold_uncertainty_score":0.3590485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853658191745251,"score_gpt":0.2332857699197467,"score_spread":0.2147491880022942,"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."}}