{"id":"W7100829940","doi":"","title":"Vertical and Horizontal Information flows: The case of SARS (Severe Acute Respiratory Syndrome)","year":2011,"lang":"en","type":"article","venue":"","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information exchange; China; Information flow; Information mapping; Horizontal and vertical; Doors; Information source (mathematics); Globalization","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":[],"consensus_categories":[],"category_scores_codex":[0.002955153,0.0002333903,0.0001610715,0.003433771,0.002200734,0.002897515,0.0004005525,0.001337456,0.003732297],"category_scores_gemma":[0.01294777,0.0001868321,0.0003323624,0.004845189,0.001849354,0.005276687,0.001531631,0.0008649003,0.0002090208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002739561,"about_ca_system_score_gemma":0.001702406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03806645,"about_ca_topic_score_gemma":0.02490336,"domain_scores_codex":[0.9974961,0.00155582,0.0001129085,0.0001367334,0.0003099639,0.0003883418],"domain_scores_gemma":[0.9873464,0.008930744,0.002293966,0.0004601592,0.0006933793,0.0002753938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008198589,0.0003812384,0.4058957,0.0005490397,0.000148485,0.01070612,0.09883344,0.01049888,0.002027108,0.279727,0.008142817,0.1822704],"study_design_scores_gemma":[0.0001625874,0.0003426673,0.3523628,0.0009121979,0.0002567003,0.006075678,0.3095402,0.06644335,0.003203041,0.1586327,0.1019237,0.0001442715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9369681,0.0009806317,0.007865191,0.008915803,0.00003952711,0.0001582317,0.0006412033,0.0000326476,0.04439864],"genre_scores_gemma":[0.9948103,0.0005139271,0.002913648,0.0001227616,0.00002487355,0.00003612522,0.0001773837,0.000005038576,0.001395819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03806645,"threshold_uncertainty_score":0.07568973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2141038619884346,"score_gpt":0.3784122502498483,"score_spread":0.1643083882614137,"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."}}