{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008991124,0.0002213189,0.0003982815,0.001410045,0.0001643071,0.00003308578,0.0002832143,0.00005680188,0.0007467514],"category_scores_gemma":[0.0002989226,0.0002238854,0.0001364419,0.003388118,0.00002639686,0.0002249717,0.0004294224,0.0003153031,0.00002462964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007009049,"about_ca_system_score_gemma":0.0001483959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005221556,"about_ca_topic_score_gemma":0.00008556485,"domain_scores_codex":[0.9974104,0.0001280386,0.000466984,0.0004917281,0.0008626299,0.0006402194],"domain_scores_gemma":[0.998652,0.00008050723,0.0001323578,0.0005946386,0.00006057039,0.0004798873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005684465,0.0002895061,0.2726365,0.00003297251,0.00001974365,0.0001167108,0.0002099651,0.0003702056,0.00001322504,0.00001541873,0.01910529,0.706622],"study_design_scores_gemma":[0.00156824,0.00007772252,0.8198963,0.000005074389,0.00005163188,0.00001558661,0.00007797494,0.0002130026,0.00001530859,0.000006783099,0.1778602,0.0002121041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840443,0.0005521009,0.00001285194,0.0005629457,0.0006038939,0.0005078755,0.0005228563,0.0001664948,0.01302665],"genre_scores_gemma":[0.9936854,0.000006397425,0.0001415398,0.001017881,0.0003594093,0.001433822,0.0003364748,0.00004643556,0.002972676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7064099,"threshold_uncertainty_score":0.9129782,"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."}}