{"id":"W2976682567","doi":"10.1016/j.jsams.2019.09.016","title":"Y balance test: Are we doing it right?","year":2019,"lang":"en","type":"article","venue":"Journal of science and medicine in sport","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université du Québec à Chicoutimi","funders":"","keywords":"Anthropometry; Trunk; Analysis of variance; Linear regression; Balance (ability); Dominance (genetics); Statistics; Lower limb; Regression analysis; Balance test; Raw score; Repeated measures design; Physical therapy; Physical medicine and rehabilitation; Mathematics; Psychology; Medicine; Demography; Raw data; Biology; Surgery; Internal medicine; Ecology","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":[0.004957216,0.001040929,0.003352429,0.001463813,0.001251274,0.002753604,0.001886402,0.005675067,0.006568231],"category_scores_gemma":[0.02312552,0.0003682386,0.0009816146,0.0009542711,0.0014417,0.004736434,0.0008443266,0.004791494,0.003315191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007799708,"about_ca_system_score_gemma":0.002286118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005738576,"about_ca_topic_score_gemma":0.01066286,"domain_scores_codex":[0.996029,0.000764588,0.0006701797,0.0004616738,0.001745322,0.0003292378],"domain_scores_gemma":[0.9901862,0.002439838,0.001318968,0.0002824616,0.004808109,0.0009644492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002542997,0.001422752,0.3416576,0.001193151,0.0009119649,0.00166569,0.0004919559,0.0003788927,0.002537847,0.001956704,0.1577943,0.4874463],"study_design_scores_gemma":[0.002055458,0.005043699,0.7269233,0.01291576,0.002902935,0.01329839,0.005319496,0.005256507,0.005254289,0.02053136,0.1995925,0.0009062863],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1666072,0.189655,0.01180455,0.5350075,0.03053568,0.0003606924,0.001949622,0.001279756,0.06279996],"genre_scores_gemma":[0.6806826,0.08911987,0.03201159,0.1410739,0.02311741,0.0004770048,0.002255173,0.0004640151,0.03079841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006568231,"threshold_uncertainty_score":0.02621657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02411726469674775,"score_gpt":0.3801884466381439,"score_spread":0.3560711819413961,"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."}}