{"id":"W4388417416","doi":"10.31080/asps.2023.07.0997","title":"COVID-19-Osteoarthritis Interactions, Predictions, and Mitigation: Can Blue Zone Findings Help? Overview and Commentary","year":2023,"lang":"en","type":"article","venue":"Acta Scientific Pharmaceutical Sciences","topic":"Medical and Biological Ozone Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Osteoporosis Canada","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Osteoarthritis; Coronavirus Infections; Medicine; Virology; Internal medicine; Alternative medicine; Pathology; Outbreak","routes":{"ca_aff":true,"ca_fund":false,"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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002232309,0.0001342344,0.0002199618,0.0002397477,0.001271289,0.0002592205,0.0001825988,0.00006503084,0.001246057],"category_scores_gemma":[0.001173799,0.00009073511,0.00004794523,0.001568651,0.003420793,0.000219702,0.0003218732,0.0003389106,0.00004081705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007733122,"about_ca_system_score_gemma":0.0002389436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008133738,"about_ca_topic_score_gemma":0.00006218411,"domain_scores_codex":[0.9976012,0.0001594265,0.0002828098,0.000632185,0.0008116966,0.0005126986],"domain_scores_gemma":[0.997526,0.0006799041,0.00003456861,0.0001346706,0.00005764204,0.001567202],"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":[0.0002611049,0.0006246175,0.1134048,0.001049173,0.0001119489,0.0003629173,0.0015506,0.000004036872,0.1239644,0.001952342,0.4973489,0.2593652],"study_design_scores_gemma":[0.001495008,0.0005382382,0.01577043,0.0002221011,0.00006682731,0.0003792616,0.001314032,0.006705954,0.0037527,0.0006136813,0.9689212,0.0002205105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7878435,0.001516746,0.00002584612,0.2093055,0.000481464,0.0003856888,0.0000783359,0.0001176364,0.0002452513],"genre_scores_gemma":[0.9841892,0.002811908,0.0001519952,0.01126849,0.0001543284,0.00004259202,0.00009646707,0.000004665257,0.001280309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4715723,"threshold_uncertainty_score":0.9996669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1598768349201579,"score_gpt":0.4414284190129424,"score_spread":0.2815515840927845,"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."}}