{"id":"W2759138710","doi":"10.2196/publichealth.7429","title":"Influenzanet: Citizens Among 10 Countries Collaborating to Monitor Influenza in Europe","year":2017,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Representativeness heuristic; Environmental health; Vaccination; Epidemiology; Influenza season; The Internet; Family medicine; Public health; Medical emergency; Influenza vaccine; Nursing; Psychology; Computer science; World Wide Web; Immunology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002056173,0.0002733275,0.0007176567,0.0003186545,0.0009854392,0.0004796504,0.0002868729,0.0001145949,0.00005087128],"category_scores_gemma":[0.008633077,0.0002433597,0.00002926191,0.0006002525,0.0003973021,0.0003788387,0.0003213901,0.0004030333,0.00009743388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002102803,"about_ca_system_score_gemma":0.001261466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007116955,"about_ca_topic_score_gemma":0.001339793,"domain_scores_codex":[0.9967946,0.0002489985,0.0006605688,0.0005151986,0.0005923016,0.001188318],"domain_scores_gemma":[0.9964044,0.0002382471,0.000278533,0.000785509,0.001100665,0.001192637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002724442,0.00004198309,0.9810575,0.0003728235,0.00002345202,0.00004450767,0.001584083,0.000002382189,0.000024378,0.0001398587,0.008517173,0.00791939],"study_design_scores_gemma":[0.001313858,0.0002750889,0.6518841,0.00007226628,2.720445e-7,0.000004155595,0.0002440412,0.00005472853,0.0000031641,0.000003631553,0.3459981,0.0001466236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750366,0.001765525,0.000003757027,0.01493199,0.0001228813,0.001493089,0.00007320465,0.00009640308,0.006476546],"genre_scores_gemma":[0.9833512,0.0006552043,0.0002231572,0.01384786,0.0003167569,0.0003184432,0.00001284379,0.00004585514,0.001228627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3374809,"threshold_uncertainty_score":0.9997177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08371238478531012,"score_gpt":0.4118251827247519,"score_spread":0.3281127979394418,"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."}}