{"id":"W2206316472","doi":"10.1017/s1481803500008629","title":"SARS: finding a deadly needle in the haystack","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hillsborough Hospital; University of Prince Edward Island; Dalhousie University","funders":"","keywords":"Haystack; Medicine; Internet privacy; Action (physics); Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medical emergency; Advertising; World Wide Web; Computer science; Pathology; Business","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":[0.0007803579,0.001076712,0.0008433657,0.001251003,0.002060964,0.001534995,0.0008913581,0.0083026,0.01548537],"category_scores_gemma":[0.005881621,0.0004713965,0.0007356191,0.0005785614,0.001273953,0.003602841,0.0009950968,0.003435448,0.006517999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590896,"about_ca_system_score_gemma":0.002425921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01106241,"about_ca_topic_score_gemma":0.01168747,"domain_scores_codex":[0.9990564,0.0001342007,0.00009378482,0.00008726656,0.0003319005,0.0002964711],"domain_scores_gemma":[0.998716,0.0001666533,0.0002326546,0.00007086009,0.0003425941,0.0004711797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.0009364611,0.0003014171,0.05158488,0.0003506017,0.00005254892,0.7594504,0.0008824414,0.0002278315,0.00651041,0.002299347,0.1004942,0.07690939],"study_design_scores_gemma":[0.00007944377,0.0007202733,0.01689131,0.0005280405,0.00009180568,0.9314851,0.002996044,0.00076627,0.002924327,0.003179415,0.0402634,0.00007465421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4857848,0.03946164,0.01723371,0.2438072,0.0177223,0.0007161555,0.0009609425,0.001987743,0.1923255],"genre_scores_gemma":[0.8456591,0.01799933,0.01010133,0.06351721,0.01034623,0.00005778658,0.0005526603,0.0001803417,0.05158609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01548537,"threshold_uncertainty_score":0.05180377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1747675978609358,"score_gpt":0.4088555211560563,"score_spread":0.2340879232951205,"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."}}