{"id":"W1668487814","doi":"10.1186/s13059-015-0726-x","title":"Real-time digital pathogen surveillance — the time is now","year":2015,"lang":"en","type":"article","venue":"Genome biology","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control","funders":"Medical Research Council","keywords":"Human genetics; Biology; Public health; Public health surveillance; Citizen science; Data science; Computational biology; Genetics; Computer science; Gene","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":[0.01025285,0.0007341799,0.000733503,0.001349168,0.001137382,0.007634659,0.002141926,0.004054985,0.01559022],"category_scores_gemma":[0.01556514,0.0003670158,0.0006027619,0.001491385,0.003914547,0.01477646,0.003953522,0.006455341,0.004662904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172167,"about_ca_system_score_gemma":0.002854219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002750834,"about_ca_topic_score_gemma":0.002392639,"domain_scores_codex":[0.995908,0.001148474,0.0002373919,0.000619557,0.001711306,0.0003752174],"domain_scores_gemma":[0.9833459,0.005551541,0.001341674,0.002221808,0.003938606,0.003600565],"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":[0.0005780926,0.0001500616,0.007905999,0.001325445,0.0001615646,0.0002400884,0.0006524562,0.001657751,0.01568675,0.07799692,0.3394762,0.5541686],"study_design_scores_gemma":[0.00004294975,0.0002477532,0.005302314,0.0008081353,0.00006012841,0.0005363747,0.001348306,0.002496365,0.00337738,0.06470211,0.9209765,0.0001016893],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01949939,0.1337994,0.08482508,0.6874531,0.03069179,0.0001350863,0.003696109,0.003225523,0.03667444],"genre_scores_gemma":[0.4009291,0.1305342,0.1844137,0.2065005,0.02918721,0.0002294417,0.007423589,0.0009539798,0.03982827],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01559022,"threshold_uncertainty_score":0.05422288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116554465287745,"score_gpt":0.2795482061990406,"score_spread":0.2583826615461632,"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."}}