{"id":"W6892044498","doi":"10.48610/f7e4c44","title":"1918 Pandemic Influenza Database WW1 Records from NAA, NZEF, and CA","year":2018,"lang":"en","type":"dataset","venue":"The University of Queensland","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council","keywords":"Pandemic; Influenza pandemic; Hospital records; Medical record; Pandemic influenza; Human mortality from H5N1","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":[0.0007548465,0.0009607808,0.001095204,0.002914605,0.0008335341,0.001102218,0.001974125,0.0009749625,0.02403772],"category_scores_gemma":[0.00435968,0.0004841307,0.0008681117,0.005620642,0.0002680069,0.0007293653,0.001235458,0.001229044,0.01930768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002177582,"about_ca_system_score_gemma":0.00600398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2645948,"about_ca_topic_score_gemma":0.3443586,"domain_scores_codex":[0.9993598,0.0000549177,0.0001090102,0.0001918104,0.0001715963,0.0001129148],"domain_scores_gemma":[0.9979366,0.0002977785,0.000269774,0.0003835794,0.0008922482,0.0002200614],"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":[0.0001320037,0.00001743644,0.005068284,0.000599874,0.00007013573,0.00004930737,0.00005390073,0.0002336282,0.0001999102,0.0003960858,0.9898068,0.003372599],"study_design_scores_gemma":[0.0002847023,0.00002848904,0.0666732,0.000706885,0.0001036132,0.0001521004,0.0002012917,0.0009035522,0.0004304752,0.0003872797,0.9300851,0.00004326852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004337091,0.00004475168,0.0000271457,0.00003460336,0.00001160877,0.00001245292,0.9988438,0.00006923012,0.0005227512],"genre_scores_gemma":[0.0006093099,0.00003682149,0.0001064305,0.00001636999,0.000003156628,0.00005173957,0.9987514,0.00001199821,0.0004128165],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7354052,"threshold_uncertainty_score":0.5261095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02922713396705851,"score_gpt":0.2493085845404577,"score_spread":0.2200814505733991,"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."}}