{"id":"W4394822226","doi":"10.1101/2024.04.11.589097","title":"Reassessing global historical ℛ <sub>0</sub> estimates of canine rabies","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Rabies epidemiology and control","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Rabies; Geography; Political science; Virology; Biology","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":[0.003964218,0.0002993705,0.0001963747,0.001809505,0.0002220032,0.001146838,0.0004387092,0.0004244302,0.0009037842],"category_scores_gemma":[0.01089553,0.0002496687,0.0003597215,0.001798488,0.0004282444,0.001184811,0.0008691757,0.0006545737,0.0003347027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005725439,"about_ca_system_score_gemma":0.0002012734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064939,"about_ca_topic_score_gemma":0.008043126,"domain_scores_codex":[0.9994104,0.0002499321,0.00003834239,0.0001711692,0.00009001922,0.00004008293],"domain_scores_gemma":[0.9952492,0.00157425,0.001120213,0.0009094016,0.001022729,0.0001241862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009224266,0.00003595993,0.8889099,0.0002442385,0.0004516422,0.0001282892,0.001092887,0.02127379,0.008193899,0.004567819,0.006711126,0.06829816],"study_design_scores_gemma":[0.00001131544,0.0001013417,0.913316,0.0002122294,0.0002273216,0.0002390865,0.0008515958,0.04945643,0.004068201,0.005333052,0.02612355,0.00005995637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481913,0.004904127,0.03318648,0.001936996,0.0001099919,0.00001606115,0.004977405,0.0003312945,0.006346342],"genre_scores_gemma":[0.9881924,0.0006184568,0.008075203,0.000217865,0.00006316413,0.00001094919,0.002521381,0.00005470441,0.0002458929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01064939,"threshold_uncertainty_score":0.02117479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249619607170906,"score_gpt":0.2289367340455272,"score_spread":0.2164405379738181,"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."}}