{"id":"W7070806052","doi":"","title":"Preventing avoidable deaths in people who are homeless through evidence-based vaccination strategies","year":2021,"lang":"en","type":"article","venue":"Griffith Research Online (Griffith University, Queensland, Australia)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Vaccination; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Public health; Baseline (sea); Population; Epidemiology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001167997,0.000352141,0.0005384486,0.0003667407,0.000397442,0.0002330191,0.0007329872,0.0004469407,0.0001970903],"category_scores_gemma":[0.0008199026,0.0003797613,0.0001650921,0.001389559,0.0001337356,0.000149594,0.0005647765,0.001168697,0.00003040012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002343654,"about_ca_system_score_gemma":0.001052522,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001651824,"about_ca_topic_score_gemma":0.02415018,"domain_scores_codex":[0.9959593,0.0009674366,0.0004460235,0.0007580948,0.0008796857,0.0009894947],"domain_scores_gemma":[0.9975262,0.000253136,0.0002598376,0.0007447785,0.00101803,0.0001979898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001175406,0.001423234,0.9298436,0.002352467,0.0002600211,0.0007116314,0.001633548,0.03347216,0.01087379,0.002628176,0.01343975,0.002186219],"study_design_scores_gemma":[0.004714979,0.0007851269,0.9355641,0.001873295,0.00007048868,0.00005291354,0.01567242,0.005212889,0.01074617,0.0002759377,0.0239518,0.001079877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940085,0.0004299271,0.001783561,0.001750519,0.0001136567,0.000534672,0.0001514301,0.0000492764,0.001178409],"genre_scores_gemma":[0.9803298,0.001169565,0.00601666,0.00008511977,0.0002528501,0.000006956719,0.0008170133,0.00004215231,0.01127987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02825927,"threshold_uncertainty_score":0.9998654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1107963671981566,"score_gpt":0.3870119837074359,"score_spread":0.2762156165092794,"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."}}