{"id":"W7099582607","doi":"","title":"McCarron M: Use of cumulative incidence of novel influenza A/H1N1 in foreign travelers to estimate lower bounds on cumulative incidence in Mexico. PLoS One 2009","year":2016,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incidence (geometry); Cumulative incidence; Disease; Influenza-like illness; Epidemiology; Infectious disease (medical specialty); Disease burden; Severity of illness","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":[0.006120715,0.0005860315,0.000588829,0.002763247,0.000434452,0.0009324334,0.001347127,0.0007401165,0.001251444],"category_scores_gemma":[0.02449021,0.0002078514,0.0008522893,0.001650645,0.0003317992,0.0005045632,0.000814967,0.0006025169,0.0002730349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055796,"about_ca_system_score_gemma":0.0009111458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1602335,"about_ca_topic_score_gemma":0.1048432,"domain_scores_codex":[0.9982864,0.0008505834,0.000172275,0.000337449,0.0002540113,0.00009927673],"domain_scores_gemma":[0.9869384,0.007779998,0.002768905,0.0009337101,0.001244238,0.0003347351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005214968,0.00004401063,0.9438196,0.0001751864,0.0007111476,0.0001049592,0.0003163904,0.01183972,0.0007466924,0.0004892974,0.002054043,0.03917752],"study_design_scores_gemma":[0.00006203851,0.0003048864,0.8988317,0.0001754344,0.0005031411,0.0002680433,0.0005458567,0.09188371,0.001936864,0.0008860902,0.004521015,0.00008121149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8586014,0.006161176,0.1170643,0.00102665,0.00009852825,0.0004615278,0.01118524,0.0004221849,0.004978823],"genre_scores_gemma":[0.9643762,0.0007542348,0.03127258,0.0001022856,0.00004157852,0.0002536805,0.00238523,0.00003134402,0.0007827721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1602335,"threshold_uncertainty_score":0.3186017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2972340683877596,"score_gpt":0.4543251580321963,"score_spread":0.1570910896444367,"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."}}