{"id":"W1765783438","doi":"10.1089/bsp.2014.0031","title":"Interfacing a Biosurveillance Portal and an International Network of Institutional Analysts to Detect Biological Threats","year":2014,"lang":"en","type":"article","venue":"Biosecurity and Bioterrorism Biodefense Strategy Practice and Science","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"Public Health England; Public Health Agency; Centers for Disease Control and Prevention; European Centre for Disease Prevention and Control; Robert Koch Institut; National Institute of Informatics; Helsingin Yliopisto; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology; European Food Safety Authority; World Health Organization; European Commission; Georgetown University","keywords":"Business; Public health; The Internet; Medicine; Computer science; World Wide Web; Pathology","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":[0.001533859,0.0001518706,0.0001784183,0.00007609597,0.0002690864,0.0001492379,0.0001881903,0.0001532413,0.000005475044],"category_scores_gemma":[0.0005064858,0.0001199937,0.00002716247,0.0002383796,0.0009182805,0.00006049078,0.0003357066,0.0001302062,0.000001004266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006656477,"about_ca_system_score_gemma":0.0001006353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001047732,"about_ca_topic_score_gemma":0.0001073942,"domain_scores_codex":[0.9985598,0.0001124359,0.0002331266,0.0005888123,0.0002181489,0.0002876313],"domain_scores_gemma":[0.9991984,0.00004359082,0.0001068137,0.0001977609,0.0002103613,0.000243066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006153714,0.0000603671,0.005076179,0.00001947194,0.00003378074,0.000007487117,0.0001996757,0.000009478243,0.9042966,0.003097469,0.00001524508,0.08656888],"study_design_scores_gemma":[0.004194106,0.01561784,0.5953124,0.0002605551,0.0001185182,0.001516597,0.002110023,0.005515821,0.3315161,0.006019178,0.03532491,0.002493964],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971982,0.0006614679,0.0005135702,0.0003822098,0.0001491252,0.0001178572,0.00003774893,0.000007332026,0.0009324366],"genre_scores_gemma":[0.996564,0.001465154,0.001543348,0.0001923326,0.0002055896,0.000002828312,0.00001615658,0.000003873672,0.000006740257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5902361,"threshold_uncertainty_score":0.4893201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03069739425356394,"score_gpt":0.3287715869985638,"score_spread":0.2980741927449999,"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."}}