{"id":"W1579846757","doi":"10.5772/33113","title":"Knowledge Integration to Support Networking for Laboratory Preparedness and Response to Emerging Pathogens","year":2012,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Preparedness; Computer science; Knowledge management; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007365735,0.0008471456,0.0005243056,0.003581638,0.001516215,0.006466007,0.002920178,0.002125367,0.02042911],"category_scores_gemma":[0.02179344,0.0003440583,0.000949545,0.002521361,0.0007555914,0.007715029,0.01019325,0.001786792,0.009506044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001883982,"about_ca_system_score_gemma":0.007543471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008104053,"about_ca_topic_score_gemma":0.007152606,"domain_scores_codex":[0.9955505,0.001681946,0.000441883,0.0007382553,0.001016636,0.0005708077],"domain_scores_gemma":[0.9868084,0.004235293,0.0009842305,0.002756673,0.003643858,0.001571538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003098125,0.0008142189,0.008521016,0.001175999,0.000152373,0.001211875,0.00509592,0.01010039,0.008493686,0.06685711,0.1026064,0.7946613],"study_design_scores_gemma":[0.00008466053,0.0002143578,0.004444133,0.001469706,0.0002029112,0.0005118779,0.004419785,0.04532598,0.007384244,0.1316788,0.8041471,0.0001163566],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04254825,0.003212981,0.5569521,0.02842185,0.001445645,0.002067193,0.004296025,0.01591812,0.3451377],"genre_scores_gemma":[0.3389378,0.003890055,0.5892155,0.006245396,0.0007104407,0.001444374,0.01606727,0.001412606,0.0420765],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02042911,"threshold_uncertainty_score":0.06834215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04493067282550797,"score_gpt":0.3389975163755751,"score_spread":0.2940668435500672,"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."}}