{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006737605,0.0005711984,0.0009940204,0.001527668,0.0005007299,0.002300711,0.001519933,0.002161303,0.007761131],"category_scores_gemma":[0.03909826,0.0002676588,0.001461563,0.0006291682,0.0005326812,0.00198638,0.002225551,0.002867224,0.001620977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009095238,"about_ca_system_score_gemma":0.004597351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004103238,"about_ca_topic_score_gemma":0.006152531,"domain_scores_codex":[0.9974076,0.001439945,0.0002491053,0.0001896932,0.0004948635,0.0002187565],"domain_scores_gemma":[0.9906228,0.0040946,0.001718889,0.0003081964,0.001679849,0.001575627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006170901,0.002223558,0.03455743,0.01028199,0.001424676,0.0002698441,0.0005181246,0.001687941,0.000750237,0.004432137,0.0836504,0.8595865],"study_design_scores_gemma":[0.005413141,0.008300877,0.2291249,0.2396162,0.008630833,0.001268858,0.004865517,0.009118074,0.002223367,0.06643904,0.4246729,0.0003262845],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08457108,0.3798528,0.01823864,0.4411652,0.01164992,0.001387234,0.003035681,0.0007686238,0.05933086],"genre_scores_gemma":[0.5301198,0.3525551,0.03007306,0.06805166,0.009506966,0.001519036,0.00252402,0.00008339444,0.005567007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007761131,"threshold_uncertainty_score":0.03563231,"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."}}