{"id":"W1996637419","doi":"10.1007/s00221-004-1888-z","title":"Strategies and determinants for selection of alternate foot placement during human locomotion: influence of spatial and temporal constraints","year":2004,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Office of Naval Research","keywords":"Selection (genetic algorithm); Foot (prosody); Neuroscience; Physical medicine and rehabilitation; Computer science; Psychology; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006364126,0.0002279061,0.0002637445,0.0004885973,0.0002667656,0.001423158,0.0002826702,0.0004587076,0.002378416],"category_scores_gemma":[0.007178815,0.0005513103,0.0001862922,0.0003140203,0.0006350826,0.0004871066,0.0004149058,0.0004213881,0.0003672962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000265557,"about_ca_system_score_gemma":0.0005437966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002733011,"about_ca_topic_score_gemma":0.005946673,"domain_scores_codex":[0.9996942,0.00009167918,0.00002469197,0.00007311184,0.00005314335,0.00006320391],"domain_scores_gemma":[0.9967648,0.002019918,0.000553487,0.0001442298,0.0002652263,0.0002524089],"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":[0.003644223,0.0005400028,0.3323725,0.0003305876,0.0003253447,0.0007529016,0.001855068,0.02752774,0.5497088,0.01556117,0.0008958382,0.06648571],"study_design_scores_gemma":[0.0001259469,0.0004248475,0.9056593,0.00004129977,0.0001095511,0.0008441393,0.0008960995,0.06910814,0.01397509,0.008173482,0.0005605853,0.00008163507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929678,0.00009836133,0.005032077,0.00007192632,0.000005373212,0.0000119954,0.00006705595,0.00001575643,0.001729589],"genre_scores_gemma":[0.9982244,0.00004886984,0.00137745,0.00001424292,0.000002838579,0.00001178238,0.00004811186,0.00002415694,0.0002480712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002733011,"threshold_uncertainty_score":0.007956564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03094495862325918,"score_gpt":0.3497171372830316,"score_spread":0.3187721786597724,"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."}}