{"id":"W4205299153","doi":"10.2139/ssrn.3981025","title":"COVID-19 in Ontario Long-term Care Facilities Project, a Manually Curated and Validated Database","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada); York University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Database; Term (time); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Computer science; Data science; Medicine; World Wide Web; Virology; Infectious disease (medical specialty); Pathology; Outbreak","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003845038,0.0009333312,0.00167471,0.01294783,0.002690129,0.003915,0.00304107,0.001250764,0.01297294],"category_scores_gemma":[0.03034398,0.0007434397,0.001035922,0.01562096,0.000803108,0.001425943,0.002485416,0.001054841,0.005791471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01552097,"about_ca_system_score_gemma":0.05872266,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8269323,"about_ca_topic_score_gemma":0.8629839,"domain_scores_codex":[0.9947884,0.0004180912,0.001362172,0.001253351,0.001702919,0.0004750103],"domain_scores_gemma":[0.9779574,0.00342105,0.004056662,0.002700194,0.01028704,0.001577609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001627135,0.0001713403,0.1615943,0.006004747,0.0006447461,0.0006297345,0.0020509,0.0008702573,0.003316663,0.004184604,0.7668356,0.05207022],"study_design_scores_gemma":[0.0006535635,0.00008814659,0.4685062,0.002154331,0.0006208755,0.0004539724,0.001122091,0.001759513,0.002030094,0.0008668287,0.5215461,0.000198219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01096084,0.0005925608,0.001534217,0.0001988456,0.00004133931,0.0005428612,0.9821483,0.0006729672,0.003308079],"genre_scores_gemma":[0.02861972,0.0004691953,0.005792063,0.0002340353,0.00002754985,0.001362254,0.9608402,0.0002766833,0.002378213],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1730677,"threshold_uncertainty_score":0.3481738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04851471745134674,"score_gpt":0.3852041733431873,"score_spread":0.3366894558918406,"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."}}