{"id":"W4226078050","doi":"10.1097/pec.0000000000002442","title":"Seasonal Trends in Pediatric Respiratory Illnesses: Using Google Trends to Inform Precision Outreach.","year":2022,"lang":"en","type":"article","venue":"PubMed","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Croup; Bronchiolitis; Medicine; Outreach; Incidence (geometry); Epidemiology; Public health; Environmental health; Pediatrics; Family medicine; Pathology; Internal medicine; Respiratory system","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":[0.005173699,0.0004824085,0.0006604081,0.0152667,0.0004990323,0.002777123,0.000876813,0.0006154504,0.002081764],"category_scores_gemma":[0.04528054,0.0003227803,0.000789354,0.01716738,0.0004047173,0.003687082,0.0019747,0.0007280767,0.0007375748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002461088,"about_ca_system_score_gemma":0.003930341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1643763,"about_ca_topic_score_gemma":0.235107,"domain_scores_codex":[0.9964012,0.0009623712,0.0007301706,0.0006497084,0.001004745,0.0002517986],"domain_scores_gemma":[0.9706123,0.01277649,0.008626474,0.001785269,0.005028904,0.001170604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002566108,0.00005535163,0.8184188,0.003815295,0.0004609991,0.0002789042,0.003980839,0.00130801,0.0003439725,0.001905128,0.03728545,0.1318906],"study_design_scores_gemma":[0.00005080358,0.0001583198,0.9183179,0.00207659,0.0004047691,0.0003916734,0.006419227,0.009641108,0.0007729593,0.002911193,0.05874258,0.0001128962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5615159,0.02991891,0.011581,0.01306722,0.0006849571,0.001527262,0.3377698,0.002127972,0.04180691],"genre_scores_gemma":[0.9106957,0.008012283,0.0176921,0.001137146,0.0004679977,0.0005531109,0.05986167,0.0001703741,0.001409715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1643763,"threshold_uncertainty_score":0.326839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04784489616450874,"score_gpt":0.2991696639892926,"score_spread":0.2513247678247839,"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."}}