{"id":"W4395046526","doi":"10.29082/ijnms/2023/vol7/iss3/530","title":"THE CORRELATION BETWEEN SMOKING BEHAVIOUR AND THE BODY MASS INDEX IN RELATION TO THE INCIDENCE OF KNEE OSTEOARTHRITIS IN THE ELDERLY, UTILIZING THE WESTERN ONTARIO AND MASTER INDEX","year":2024,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF NURSING AND MIDWIFERY SCIENCE (IJNMS)","topic":"Health and Wellbeing Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Body mass index; Incidence (geometry); Index (typography); Osteoarthritis; Medicine; Relation (database); Correlation; Physical therapy; Demography; Gerontology; Internal medicine; Mathematics; Sociology; Pathology; Alternative medicine; Data mining; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01074925,0.0000979769,0.0001487186,0.0002970878,0.0009486405,0.000307363,0.0005084379,0.00007892555,0.000005040699],"category_scores_gemma":[0.000649521,0.00004295972,0.00002933975,0.0004514009,0.0007073719,0.0005003004,0.0001115936,0.001408989,0.000001332388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002806398,"about_ca_system_score_gemma":0.0006992247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002918016,"about_ca_topic_score_gemma":0.006899307,"domain_scores_codex":[0.9971479,0.0006744176,0.000666878,0.0001806149,0.001008938,0.0003212194],"domain_scores_gemma":[0.9960669,0.00319895,0.0002397138,0.0001511801,0.0002632079,0.00008005241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001641356,0.000008807053,0.864437,0.000009251281,0.000007015345,0.00001089789,0.02688576,0.00009375272,0.00002641513,0.0007585338,0.00007533175,0.1075231],"study_design_scores_gemma":[0.0006506084,0.0001453158,0.980491,0.001883861,0.00001359111,0.00009401373,0.01040621,0.002109908,0.00000358595,0.002918392,0.001234275,0.00004921375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513089,0.001124215,0.0005527422,0.04500568,0.0009961887,0.0004605157,0.000002760041,0.00000328367,0.0005457132],"genre_scores_gemma":[0.998928,0.0002201415,0.00001346658,0.0004479374,0.0002069971,0.0000150076,6.993033e-7,0.000006069517,0.000161669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.116054,"threshold_uncertainty_score":0.7296271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05688211047994541,"score_gpt":0.419696238827979,"score_spread":0.3628141283480336,"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."}}