{"id":"W2588968442","doi":"","title":"Web: SARS Reference","year":2003,"lang":"en","type":"article","venue":"","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Epidemiology; Multinational corporation; Computer science; Coronavirus disease 2019 (COVID-19); Medicine; Outbreak; World Wide Web; Political science; Virology; Law; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001065383,0.002389338,0.002514587,0.003252572,0.001470039,0.007034055,0.002610327,0.00467483,0.9300823],"category_scores_gemma":[0.006487421,0.001223688,0.001123306,0.004009964,0.0005274744,0.003761509,0.003199787,0.003185071,0.9417561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001439249,"about_ca_system_score_gemma":0.002038235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003908904,"about_ca_topic_score_gemma":0.004112416,"domain_scores_codex":[0.9989422,0.00009909016,0.0001303734,0.0001787606,0.0004856002,0.000163908],"domain_scores_gemma":[0.9967666,0.000409536,0.0002266836,0.0003858248,0.001524817,0.0006864503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003359439,0.00003272186,0.00004835549,0.0003653921,0.00000343618,0.00004262558,0.00001255986,0.00002604322,0.0001403249,0.0003954553,0.977216,0.02168346],"study_design_scores_gemma":[0.000033523,0.00002340675,0.0003172149,0.0002546631,0.000002816961,0.00005010652,0.00002458513,0.00004175961,0.00009026263,0.0005192899,0.9986297,0.0000126673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002585482,0.00260704,0.0007203007,0.003595449,0.008437387,0.0004694476,0.115944,0.009629248,0.8583385],"genre_scores_gemma":[0.00131169,0.002304278,0.0009249566,0.004551759,0.001542141,0.0002401791,0.1126398,0.002160211,0.874325],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06991768,"threshold_uncertainty_score":0.099729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07387433920398752,"score_gpt":0.3744084406242708,"score_spread":0.3005341014202833,"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."}}