{"id":"W4417356119","doi":"10.1016/j.gaitpost.2025.110085","title":"Biomechanical effects of varying arch support hardness in foot orthosis for adults with flexible flatfoot: A comprehensive Bayesian statistical analysis","year":2025,"lang":"en","type":"article","venue":"Gait & Posture","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Science Fund for Distinguished Young Scholars of Zhejiang Province; China Scholarship Council; National Key Research and Development Program of China; K. C. Wong Magna Fund in Ningbo University; Natural Science Foundation of Ningbo; Ningbo University","keywords":"Statistical analysis; Arch; Balance (ability); Foot Orthoses; Biomechanics; Bayesian probability","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":[0.004767051,0.0004877951,0.000864518,0.0005943026,0.0004094191,0.0005896613,0.0005606023,0.0006510637,0.001759105],"category_scores_gemma":[0.01284717,0.0004012925,0.001789948,0.0003684219,0.0006806698,0.0006110956,0.0006809342,0.0006002077,0.0001231451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002667384,"about_ca_system_score_gemma":0.0006863389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005416376,"about_ca_topic_score_gemma":0.008603594,"domain_scores_codex":[0.9985971,0.0005771391,0.00008860444,0.0004005133,0.0002335884,0.0001030872],"domain_scores_gemma":[0.9895443,0.008698443,0.0006336644,0.0005458753,0.0004019144,0.0001757072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01721344,0.003506932,0.5676447,0.0006627055,0.00486844,0.0005574144,0.001626135,0.1298186,0.02547775,0.0028162,0.0008909503,0.2449168],"study_design_scores_gemma":[0.0001610898,0.005370325,0.7067226,0.00007788106,0.001757731,0.0004116303,0.0005832213,0.2797946,0.001416399,0.003198408,0.0003738601,0.0001321509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848996,0.0001933601,0.01442152,0.0000317076,0.000005942134,0.00004729549,0.0001755107,0.00003084264,0.0001941769],"genre_scores_gemma":[0.9955319,0.00006496683,0.003867419,0.00001750195,0.000005980606,0.00002905446,0.0002578113,0.00001443142,0.000211056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005416376,"threshold_uncertainty_score":0.02521086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007853953492201624,"score_gpt":0.2454157678212706,"score_spread":0.2375618143290689,"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."}}