{"id":"W2469846248","doi":"10.2316/journal.206.2016.4.206-4548","title":"HUMAN STAIR ASCENT AND DESCENT SIMULATION USING A HYBRID OPTIMIZATION FORMULATION","year":2016,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Descent (aeronautics); Computer science; Mathematical optimization; Mathematics; Engineering; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000360864,0.0005980475,0.0009612179,0.0005345726,0.0008919856,0.001176507,0.001181029,0.002122211,0.005519957],"category_scores_gemma":[0.001039172,0.0007997082,0.0007878953,0.0004647349,0.0007625649,0.0005704432,0.0009443383,0.0008039304,0.0005184673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007132163,"about_ca_system_score_gemma":0.001287779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03196977,"about_ca_topic_score_gemma":0.01799002,"domain_scores_codex":[0.9998736,0.0000463732,0.000005737572,0.00002115984,0.00002639835,0.00002675536],"domain_scores_gemma":[0.9994786,0.0003045443,0.00004744931,0.00002778937,0.00007940772,0.00006225512],"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":[0.00001524002,0.0000125387,0.0001159587,0.000006373617,0.000007932616,0.00002289849,0.000009345882,0.9981871,0.00008448806,0.0008123189,0.00008011331,0.0006456557],"study_design_scores_gemma":[0.000004024984,0.000004542377,0.00002499118,0.000001006632,0.000001192968,0.000001692076,0.000003218863,0.9997485,0.00001772147,0.0001456187,0.00004643744,0.00000103158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3021043,0.0004322914,0.6423818,0.0009069446,0.000221362,0.0002419291,0.0005147718,0.0007337335,0.05246285],"genre_scores_gemma":[0.9425287,0.000114793,0.04660873,0.0001460583,0.00004980256,0.0001943116,0.0001956045,0.0001327592,0.01002921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03196977,"threshold_uncertainty_score":0.0635674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445847836670709,"score_gpt":0.2595046025070984,"score_spread":0.2450461241403913,"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."}}