{"id":"W2183730683","doi":"10.82308/39437","title":"Evaluating the use of physician billing data for age and setting specific influenza surveillance","year":2009,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Medical emergency; Family medicine","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":[0.05860918,0.001243524,0.001185833,0.003025547,0.0004601116,0.00310228,0.001772579,0.001422771,0.001424216],"category_scores_gemma":[0.222027,0.0006698559,0.002977226,0.004499125,0.0004014765,0.002202274,0.001238893,0.0009178516,0.000383484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002758433,"about_ca_system_score_gemma":0.0059306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06705555,"about_ca_topic_score_gemma":0.04996851,"domain_scores_codex":[0.9314431,0.0528452,0.004413205,0.003602012,0.006822363,0.0008742877],"domain_scores_gemma":[0.7562935,0.1975795,0.01790741,0.009723788,0.01698786,0.00150801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002454261,0.00041321,0.9067184,0.0009949624,0.003040115,0.00006897198,0.0004595167,0.0219618,0.0006591256,0.0007613404,0.002301775,0.06016652],"study_design_scores_gemma":[0.0003793336,0.003332541,0.7009089,0.0007049911,0.002333082,0.0002358526,0.0009355179,0.2772176,0.003216251,0.001506484,0.009106264,0.0001232913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9215739,0.005194691,0.03772978,0.002351933,0.0003351383,0.001904752,0.0247522,0.0007505117,0.005407066],"genre_scores_gemma":[0.9440228,0.0007693899,0.04377316,0.0003043848,0.00006886964,0.0007127314,0.009617815,0.00007579772,0.0006552394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06705555,"threshold_uncertainty_score":0.3099586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1480414361966044,"score_gpt":0.3662543802210816,"score_spread":0.2182129440244772,"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."}}