{"id":"W2094081866","doi":"10.1016/j.gaitpost.2006.07.005","title":"Body weight is a strong predictor of postural stability","year":2006,"lang":"en","type":"article","venue":"Gait & Posture","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":493,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Balance (ability); Stepwise regression; Falling (accident); Body weight; Linear regression; Obesity; Regression analysis; Analysis of variance; Physical therapy; Physical medicine and rehabilitation; Medicine; Mathematics; Statistics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003581828,0.0002084155,0.0003598855,0.00005652144,0.0002945978,0.000006755521,0.0002197483,0.0003533587,0.0002872453],"category_scores_gemma":[0.00004124949,0.0001689104,0.0001542238,0.0001820204,0.000079923,0.0001606115,0.00009934988,0.0006275844,0.0001156269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001055329,"about_ca_system_score_gemma":0.0001577573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007042298,"about_ca_topic_score_gemma":0.0004237635,"domain_scores_codex":[0.9978524,0.000299125,0.0006352013,0.0003479499,0.0003411357,0.0005241531],"domain_scores_gemma":[0.9987394,0.000112527,0.0003220963,0.0004711881,0.0002578032,0.00009696664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002404768,0.0007589206,0.7728524,0.0005443036,0.00006846469,0.000004240163,0.00233901,8.033822e-8,0.1390246,0.002896462,0.081048,0.0002230912],"study_design_scores_gemma":[0.0012025,0.0001052304,0.9835607,0.0001429447,0.00004970354,0.000001195727,0.0005485327,0.00005732892,0.00008405817,0.001598518,0.01249778,0.0001515375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980589,0.0007991738,0.00005099695,0.001116688,0.0008112885,0.0008627906,0.0004768519,0.0001271453,0.01516607],"genre_scores_gemma":[0.9952541,0.00003608511,0.0002765012,0.0004548697,0.0007542332,0.00004890755,0.0002722732,0.00002540481,0.002877634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2107083,"threshold_uncertainty_score":0.6887968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0154806675361397,"score_gpt":0.3136478263095147,"score_spread":0.298167158773375,"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."}}