{"id":"W1976908355","doi":"10.1016/s0004-9514(14)60300-7","title":"Theoretical considerations in balance assessment","year":2001,"lang":"en","type":"article","venue":"Australian Journal of Physiotherapy","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":284,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Kingston Health Sciences Centre","funders":"","keywords":"Balance (ability); Task (project management); Control (management); Relation (database); Computer science; Component (thermodynamics); Function (biology); Physical medicine and rehabilitation; Medicine; Artificial intelligence; Engineering; Data mining; Systems engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006810458,0.0001181858,0.0002998033,0.00010567,0.0001591829,0.00001419714,0.0001231974,0.0001127723,0.002175219],"category_scores_gemma":[0.0000324132,0.00009564649,0.0001092648,0.0001682174,0.00009929834,0.0002180957,0.000009364262,0.0006739158,0.00004103556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001157797,"about_ca_system_score_gemma":0.0002285508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002003039,"about_ca_topic_score_gemma":0.00002861874,"domain_scores_codex":[0.998153,0.0004822516,0.0006950318,0.0001178609,0.0002281676,0.0003236737],"domain_scores_gemma":[0.9989716,0.0002255759,0.0003795197,0.0001602734,0.000150166,0.0001128372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002469834,0.001685389,0.3281878,0.0000962963,0.000129051,0.0002062077,0.002253917,0.00003343496,0.2211685,0.3994602,0.04400402,0.002528178],"study_design_scores_gemma":[0.002922302,0.0002142268,0.8600944,0.0003772193,0.000009753407,0.00003499181,0.0006797104,0.00007473031,0.00003222829,0.1307732,0.004660253,0.0001269554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817355,0.000116656,0.000488507,0.01064968,0.0007730832,0.0003251238,0.000006664394,0.00001802113,0.00588671],"genre_scores_gemma":[0.9954839,0.0004422026,0.001594485,0.001057487,0.0005282111,0.000009922649,0.000002670702,0.00001588689,0.0008652586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5319066,"threshold_uncertainty_score":0.9987369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03534152538572487,"score_gpt":0.4388894723699385,"score_spread":0.4035479469842136,"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."}}