{"id":"W4372200983","doi":"10.1016/j.jneumeth.2023.109875","title":"A reliable and efficient adaptive Bayesian method to assess static lower limb position sense","year":2023,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Research Resources; University of Pennsylvania; University of Delaware; National Institute on Aging; National Institutes of Health; National Science Foundation","keywords":"Proprioception; Physical medicine and rehabilitation; Psychology; Stimulus (psychology); Computer science; Cognitive psychology; Medicine","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":[0.006008592,0.0008341053,0.0007429878,0.001782784,0.0004828758,0.001073497,0.001009994,0.001185877,0.002304184],"category_scores_gemma":[0.027417,0.0005134675,0.000668848,0.001206394,0.0005605705,0.001015234,0.0009478728,0.001274842,0.0007910124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005484128,"about_ca_system_score_gemma":0.001125732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002705433,"about_ca_topic_score_gemma":0.005505281,"domain_scores_codex":[0.996303,0.001606832,0.0002680317,0.000740764,0.0009912935,0.00009007286],"domain_scores_gemma":[0.9888855,0.005608019,0.001460372,0.0009741704,0.002877274,0.0001946619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00150119,0.0005690857,0.05299167,0.0008044544,0.0009785164,0.0001639043,0.0008249425,0.05811385,0.09852356,0.009204453,0.004106534,0.7722178],"study_design_scores_gemma":[0.000177216,0.0007451331,0.0820199,0.0002127101,0.0003852558,0.000933646,0.0001524138,0.8487689,0.04117231,0.0184216,0.006585455,0.00042555],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03064361,0.0002247167,0.9671493,0.00006853381,0.00003394821,0.0001404027,0.0002182703,0.0006199856,0.0009012581],"genre_scores_gemma":[0.2362424,0.0001845056,0.7615119,0.0001118019,0.00004106677,0.0005057611,0.0004061069,0.0002409828,0.0007554841],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006008592,"threshold_uncertainty_score":0.03177685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1105732476654864,"score_gpt":0.4987570328693799,"score_spread":0.3881837852038936,"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."}}