{"id":"W4402556431","doi":"10.1249/01.mss.0001053216.10439.ee","title":"The Combination Of Force Plate Posturography And Machine Learning Predicts Fall Risk In Older Adults","year":2024,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Posturography; Physical medicine and rehabilitation; Medicine; Psychology; Balance (ability)","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":[0.0007646468,0.0005241277,0.0004476404,0.001000422,0.0001587167,0.0006293497,0.0002017851,0.0005471699,0.001024826],"category_scores_gemma":[0.005018573,0.0001571682,0.0004027311,0.000480495,0.0001642894,0.0005520631,0.0005008517,0.0002959803,0.0002849846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001552912,"about_ca_system_score_gemma":0.0001595225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002480674,"about_ca_topic_score_gemma":0.005287914,"domain_scores_codex":[0.9996936,0.00007199786,0.00004171756,0.00005892698,0.0001001585,0.00003366102],"domain_scores_gemma":[0.9987255,0.0003340536,0.0005396788,0.00006207711,0.0002115193,0.0001270942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000359221,0.0001260108,0.9774036,0.00003611323,0.0001922029,0.00004303999,0.00005504374,0.0007232448,0.0008698166,0.00001599117,0.0002202092,0.01995549],"study_design_scores_gemma":[0.000005835953,0.0002822169,0.9911802,0.00001527967,0.00004297156,0.000123804,0.00006123944,0.007994386,0.0001482428,0.00007671147,0.00006155961,0.000007485927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982146,0.0003640295,0.0006127463,0.00009193175,0.00001039712,0.00001064154,0.0001671459,0.00001827092,0.0005102374],"genre_scores_gemma":[0.9991693,0.0001063846,0.0004556107,0.00001621758,0.00001455086,0.000005683348,0.0001283526,0.000001144071,0.0001026676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002480674,"threshold_uncertainty_score":0.004932523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057461485946254,"score_gpt":0.308618454697567,"score_spread":0.2980438398381045,"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."}}