{"id":"W2619190844","doi":"","title":"Analysis and Simulation of Optimal Motions in Rock Climbing","year":2014,"lang":"fr","type":"preprint","venue":"theses.fr (ABES)","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climbing; Kinematics; Gesture; Motion capture; Computer science; Population; Artificial intelligence; Motion (physics); Computer vision; Simulation; Engineering; Physics; Structural engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003726681,0.0005474897,0.0005743735,0.0004608556,0.0004793509,0.00100291,0.0008184751,0.001241534,0.004416948],"category_scores_gemma":[0.001878999,0.0004490602,0.000737869,0.000385593,0.000680292,0.0005108005,0.0008870359,0.0006229265,0.0004701987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006008347,"about_ca_system_score_gemma":0.0009955302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01764216,"about_ca_topic_score_gemma":0.01944898,"domain_scores_codex":[0.9998092,0.00004271657,0.00001111699,0.00003428065,0.00006103264,0.00004175415],"domain_scores_gemma":[0.9995328,0.0002992939,0.00003564712,0.00003938952,0.00005458398,0.00003837362],"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":[0.00006266682,0.00002222025,0.001289154,0.00006129617,0.00001731827,0.00006182855,0.00008947351,0.9898539,0.001767711,0.001697124,0.0002344963,0.004842775],"study_design_scores_gemma":[0.000009401978,0.0000218833,0.0004920117,0.000008664698,0.000003473133,0.00001044741,0.00004460555,0.9978416,0.0003619708,0.0007334565,0.000467556,0.000004853627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7199421,0.0007479629,0.2509696,0.0005984895,0.0001467473,0.0001766532,0.0009729807,0.001054813,0.02539074],"genre_scores_gemma":[0.9578353,0.0002239307,0.03763132,0.0000486526,0.00001068342,0.0001299112,0.0004433882,0.0001207526,0.003556026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01764216,"threshold_uncertainty_score":0.03507894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193805391923457,"score_gpt":0.2367551620184455,"score_spread":0.224817108099211,"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."}}