{"id":"W6959648478","doi":"10.11575/prism/49003","title":"Utilization of International Medical Graduates (IMGs) for COVID-19 Response in Multicultural Communities","year":2021,"lang":"en","type":"other","venue":"Open MIND","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; Immigration; Public health; Multiculturalism; Health care; Cultural competence; Population; Ethnic group; Service (business)","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":[0.003059995,0.0003146701,0.000305385,0.0008644192,0.004992137,0.002087079,0.001124988,0.001050658,0.01348144],"category_scores_gemma":[0.008466625,0.0003060916,0.000412276,0.0006517486,0.001387232,0.001013051,0.006098091,0.002085158,0.000982407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003170118,"about_ca_system_score_gemma":0.01815844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0559947,"about_ca_topic_score_gemma":0.1279878,"domain_scores_codex":[0.9969747,0.000875111,0.00009957411,0.000232744,0.0006420866,0.001175736],"domain_scores_gemma":[0.9868325,0.0007559551,0.001013227,0.0002221788,0.001409175,0.009766901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002001445,0.00111901,0.5331308,0.001319336,0.00009095224,0.005611965,0.1450336,0.0001158847,0.003777256,0.002273867,0.05267312,0.2546541],"study_design_scores_gemma":[0.0001007121,0.001329053,0.5849015,0.002679844,0.00009862294,0.004128693,0.260887,0.0003362371,0.0006765123,0.001001349,0.1437342,0.0001262405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453206,0.00346623,0.0004883892,0.01656367,0.0007872901,0.0005167046,0.0002694881,0.00009840188,0.03248923],"genre_scores_gemma":[0.9762242,0.002450007,0.001559679,0.01131779,0.0002523521,0.0001756178,0.0001864366,0.00004792884,0.007786058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0559947,"threshold_uncertainty_score":0.1113375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1719778271743326,"score_gpt":0.3722729128409341,"score_spread":0.2002950856666015,"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."}}