{"id":"W4281483967","doi":"10.2196/37858","title":"COVID-19 Variant Surveillance and Social Determinants in Central Massachusetts: Development Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Geospatial analysis; Dashboard; Public health; Public health surveillance; Computer science; Geographic information system; Public health informatics; Social determinants of health; Data science; World Wide Web; Geography; Medicine; Health policy; Cartography; International health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002188279,0.0005428163,0.0002383723,0.001590229,0.001055947,0.0007876531,0.001015481,0.0004151802,0.002738642],"category_scores_gemma":[0.004658625,0.0003682107,0.0004051673,0.00200846,0.0005336453,0.0008207553,0.001401494,0.0005599644,0.0006160388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003875386,"about_ca_system_score_gemma":0.003051493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3018922,"about_ca_topic_score_gemma":0.3473132,"domain_scores_codex":[0.9989938,0.0005045001,0.0000482043,0.0001517731,0.0001170125,0.0001846551],"domain_scores_gemma":[0.9967594,0.0005452601,0.0008439558,0.000243815,0.0008275064,0.0007800654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007200248,0.0003886742,0.9868134,0.00003466073,0.00004390205,0.0003028791,0.003626406,0.0000651366,0.0002721676,0.0001296689,0.0009579557,0.007293124],"study_design_scores_gemma":[0.00002743267,0.000339485,0.9943738,0.00002776149,0.00004576529,0.0001022849,0.003339481,0.0002410568,0.0001054702,0.00002780121,0.00136096,0.000008804399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970446,0.0001867582,0.0001941041,0.0002205055,0.000004894509,0.0001699877,0.001162342,0.00001574712,0.001001189],"genre_scores_gemma":[0.995719,0.0003192122,0.0007327571,0.0001426576,0.000009817499,0.0003999444,0.001359802,0.000007243805,0.001309536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3018922,"threshold_uncertainty_score":0.6002699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3494264855484121,"score_gpt":0.521188636187178,"score_spread":0.1717621506387659,"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."}}