{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000871898,0.0003615798,0.001119004,0.000406647,0.00004907454,0.00007359948,0.000290448,0.0004586505,0.00009783044],"category_scores_gemma":[0.0001491561,0.0003892066,0.0003639972,0.0004462319,0.00002552871,0.00009267961,0.0002520932,0.0005045081,0.00003298026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002048858,"about_ca_system_score_gemma":0.00002102236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004685285,"about_ca_topic_score_gemma":0.0009792885,"domain_scores_codex":[0.9977166,0.0001965051,0.0009463267,0.000456511,0.0002983053,0.0003857344],"domain_scores_gemma":[0.998509,0.0004207519,0.0002845722,0.0005522643,0.00009404834,0.0001393505],"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":[0.00001093065,0.00006884339,0.00398887,0.0002739465,0.0007606228,0.000002778818,0.0006329238,0.963994,0.0006425648,0.02450637,2.912959e-7,0.005117833],"study_design_scores_gemma":[0.0005021284,0.00004381808,0.01395361,0.0003788601,0.0008401481,0.000001094456,0.0002291786,0.9819679,0.00003769433,0.001428115,0.0002907252,0.0003267363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5187613,0.0004813855,0.4767647,0.00009153713,0.0003218044,0.0003086216,0.00004521914,0.00004824662,0.003177157],"genre_scores_gemma":[0.9981925,0.0001840467,0.001263779,0.000008356953,0.0001613663,0.00002973582,0.0000421105,0.00004862234,0.00006949689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4794312,"threshold_uncertainty_score":0.999856,"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."}}