{"id":"W4205368922","doi":"10.1016/j.lana.2021.100146","title":"Factors associated with SARS-CoV-2 test positivity in long-term care homes: A population-based cohort analysis using machine learning","year":2022,"lang":"en","type":"article","venue":"The Lancet Regional Health - Americas","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Women's College Hospital; Canadian VIGOUR Centre; University of Alberta; Vector Institute; Ted Rogers Centre for Heart Research; Institute for Clinical Evaluative Sciences; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Demography; Quartile; Cohort; Long-term care; Population; Odds ratio; Odds; Gerontology; Cohort study; Internal medicine; Confidence interval; Logistic regression; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001038881,0.0002609974,0.001008028,0.00040145,0.002277067,0.00001592916,0.000257501,0.00007306538,0.00006957693],"category_scores_gemma":[0.0001485515,0.0001889269,0.0001589293,0.00274066,0.00008885877,0.00006138411,0.00008699561,0.001306327,0.000002275302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002379028,"about_ca_system_score_gemma":0.000812995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04642788,"about_ca_topic_score_gemma":0.01532515,"domain_scores_codex":[0.9954185,0.002168692,0.0005328102,0.0004248077,0.0006510676,0.0008040484],"domain_scores_gemma":[0.9969371,0.001636892,0.0008419175,0.0003660661,0.0001236911,0.00009432303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001553893,0.0001071167,0.9891632,0.00009836702,0.0001377615,0.00001039943,0.004993874,0.004801975,0.00001585737,0.000006032794,0.0002599261,0.0002501448],"study_design_scores_gemma":[0.0008777516,0.0002818391,0.9906889,0.0001512572,0.0002008059,0.000001837436,0.003527587,0.003896442,0.000002183105,0.000007806951,0.000153101,0.0002104868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939361,0.0007430018,0.0001978411,0.003764677,0.0001443447,0.0008053235,0.000224782,0.0001342844,0.00004968201],"genre_scores_gemma":[0.9945861,0.00003729827,0.00006069366,0.00227614,0.0001321138,0.00009674954,0.002719059,0.00004060162,0.00005129525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03110273,"threshold_uncertainty_score":0.9990218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1302275048580182,"score_gpt":0.4336060025245352,"score_spread":0.3033784976665169,"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."}}