{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003169674,0.00009019348,0.000134718,0.0007340278,0.0003461256,0.0003784569,0.0002235359,0.000220423,0.0008775088],"category_scores_gemma":[0.001814438,0.0001424745,0.0002112032,0.000961017,0.0002031335,0.0001444424,0.0002147915,0.0002454018,0.0001217104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006223195,"about_ca_system_score_gemma":0.0007640757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1703214,"about_ca_topic_score_gemma":0.2913782,"domain_scores_codex":[0.9997434,0.00003979109,0.00003521844,0.00002564015,0.0001133344,0.00004256703],"domain_scores_gemma":[0.9988748,0.0001757863,0.0005226138,0.00003906292,0.000163083,0.0002244863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001510246,0.00001099643,0.999386,0.000003506286,0.000009592351,0.00001993909,0.00005112972,0.000005516109,0.0000520145,0.000003773736,0.00002063431,0.000421852],"study_design_scores_gemma":[3.570945e-7,0.00001076855,0.9998275,0.000001575987,0.000004421363,0.00002515221,0.00006497102,0.0000240532,0.000005995354,0.000001660664,0.00003301205,6.09267e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998822,0.0002993357,0.00002273288,0.00005223776,0.000003616222,0.000007800729,0.0001362595,0.000001298897,0.0006547208],"genre_scores_gemma":[0.9993699,0.0001804501,0.00004221259,0.00001317783,0.000004976974,0.000004508292,0.0001077327,4.883497e-7,0.0002765434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1703214,"threshold_uncertainty_score":0.3386599,"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."}}