{"id":"W4415310281","doi":"10.46298/mbj.16165","title":"A new methodological approach for analyzing bouldering fall kinematics: preliminary study on 6 athletes","year":2025,"lang":"en","type":"article","venue":"Multidisciplinary Biomechanics Journal","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Mitacs; École de technologie supérieure","keywords":"Athletes; Perspective (graphical); Elite athletes; Statistical analysis; Work (physics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001528078,0.0002621226,0.0003812368,0.0005656714,0.0008974621,0.000322134,0.001186071,0.0001414162,0.000003901829],"category_scores_gemma":[0.0001070889,0.0002139168,0.000258477,0.0009184742,0.00001902725,0.0002480002,0.0006986768,0.0004202834,0.000002920142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001171637,"about_ca_system_score_gemma":0.0001041623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005404766,"about_ca_topic_score_gemma":5.994977e-7,"domain_scores_codex":[0.9980054,0.0001856213,0.0005958863,0.0005805282,0.0002514783,0.0003810968],"domain_scores_gemma":[0.9984524,0.0003518297,0.0002795398,0.0006081634,0.0001356073,0.0001724153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006495343,0.005391877,0.001142296,0.0002987186,0.0008009615,0.00007531607,0.005591645,0.004725555,0.05779418,0.1805189,0.005980436,0.7370306],"study_design_scores_gemma":[0.001417069,0.003707269,0.001238716,0.0001566564,0.0001012731,0.0001108399,0.001288327,0.8958654,0.01343581,0.08170193,0.0004743829,0.0005023038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0113113,0.0001430455,0.9859905,0.0007866413,0.0002258812,0.001057134,0.000003280811,0.0002639705,0.0002181914],"genre_scores_gemma":[0.1966283,0.00002522127,0.8024703,0.00006088975,0.0001224843,0.0001823996,0.000002413659,0.00001522013,0.000492717],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8911399,"threshold_uncertainty_score":0.8723274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08658245684168937,"score_gpt":0.3739634332080652,"score_spread":0.2873809763663759,"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."}}