{"id":"W2890258652","doi":"10.2196/11361","title":"Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study","year":2018,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Computer science; Machine learning; Medicine","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":[0.005040371,0.0008607624,0.0007438876,0.002664624,0.0002852703,0.001099836,0.0007219586,0.0008380884,0.0007257208],"category_scores_gemma":[0.009303906,0.0002164891,0.00120227,0.002258036,0.0002714322,0.001506898,0.0006729445,0.0005022663,0.0002212752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007525083,"about_ca_system_score_gemma":0.0004207721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005755451,"about_ca_topic_score_gemma":0.002659531,"domain_scores_codex":[0.9967496,0.001633495,0.0003165794,0.000494936,0.000642303,0.0001630965],"domain_scores_gemma":[0.9897301,0.006460316,0.000822623,0.0007156143,0.002008031,0.0002633286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006137157,0.002828297,0.6006305,0.002128683,0.004100278,0.0005312536,0.0003739881,0.08331003,0.00381122,0.001183852,0.005735886,0.289229],"study_design_scores_gemma":[0.0002794685,0.004256995,0.426759,0.0002587176,0.001181794,0.0006287693,0.0009430699,0.5561819,0.004608098,0.001190542,0.003587493,0.0001240853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776913,0.005268369,0.01240387,0.0003825868,0.0002297348,0.0002063753,0.001697414,0.0001935347,0.001926839],"genre_scores_gemma":[0.9877738,0.001119691,0.007792727,0.00007312087,0.0001141484,0.00009803157,0.00276777,0.00002098111,0.0002397146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005755451,"threshold_uncertainty_score":0.02665639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1078165834541684,"score_gpt":0.425540823936369,"score_spread":0.3177242404822006,"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."}}