{"id":"W4323351175","doi":"10.1093/jcag/gwac036.188","title":"A188 INFORMING IMMUNOCOMPROMISED POPULATIONS: AN EFFECTIVE AND EFFICIENT COVID-19 KNOWLEDGE TRANSLATION STRATEGY","year":2023,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Crohn's and Colitis Canada; University of Calgary","funders":"","keywords":"Pandemic; Infographic; Population; Medicine; Public health; Government (linguistics); Family medicine; Knowledge translation; Health care; Coronavirus disease 2019 (COVID-19); Disease; Medical education; Infectious disease (medical specialty); Nursing; Environmental health; Pathology; Political science; Computer science","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":[0.08205285,0.001392881,0.001254074,0.007582632,0.003990163,0.01048948,0.005241265,0.004611793,0.04054914],"category_scores_gemma":[0.1375794,0.001219643,0.001991576,0.004152862,0.002426776,0.009563793,0.01985915,0.006141662,0.01451027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006789128,"about_ca_system_score_gemma":0.04668199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0109388,"about_ca_topic_score_gemma":0.01128837,"domain_scores_codex":[0.9507751,0.03481964,0.004580264,0.002873572,0.005193144,0.001758242],"domain_scores_gemma":[0.8692941,0.08288786,0.004134385,0.01032919,0.02393109,0.009423453],"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":[0.0004443603,0.001755059,0.002425625,0.004049357,0.0001146362,0.0020281,0.01874241,0.002242623,0.003255593,0.01120422,0.1119554,0.8417826],"study_design_scores_gemma":[0.0009219135,0.001592535,0.007020445,0.01374112,0.0004589263,0.001717639,0.04256969,0.01850025,0.005284159,0.0614192,0.846368,0.0004060598],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0487735,0.005559032,0.5808198,0.1748556,0.006431713,0.03941431,0.006428178,0.009678656,0.1280392],"genre_scores_gemma":[0.09621163,0.004090013,0.8607178,0.01570438,0.001017563,0.008313547,0.004078425,0.0007802812,0.009086392],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08205285,"threshold_uncertainty_score":0.4339421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04489108744640103,"score_gpt":0.3300441981974344,"score_spread":0.2851531107510334,"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."}}