{"id":"W2154169270","doi":"10.1098/rsif.2010.0123","title":"Risk factors for the evolutionary emergence of pathogens","year":2010,"lang":"en","type":"article","venue":"Journal of The Royal Society Interface","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Transmissibility (structural dynamics); Biology; Population; Mutation; Pathogen; Host (biology); Adaptation (eye); Mutation rate; Susceptible individual; Coevolution; Genetics; Transmission (telecommunications); Evolutionary biology; Computational biology; Computer science; Gene; Neuroscience","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":[0.001139249,0.00043133,0.0004611891,0.0009218376,0.0006314378,0.001616883,0.0005227659,0.001580275,0.00394435],"category_scores_gemma":[0.01698459,0.000291912,0.0005203585,0.0004632755,0.001278019,0.001836802,0.001424257,0.00127802,0.0003155353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000682959,"about_ca_system_score_gemma":0.0003624251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001063158,"about_ca_topic_score_gemma":0.0007607939,"domain_scores_codex":[0.9993401,0.0002011663,0.00004499294,0.000191661,0.000106183,0.0001158888],"domain_scores_gemma":[0.990002,0.005471488,0.002882141,0.0004478002,0.0004179212,0.0007786878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005307426,0.0003383794,0.5204129,0.000395294,0.0004226645,0.002780514,0.001196046,0.1643195,0.01776756,0.2372673,0.002629411,0.05193968],"study_design_scores_gemma":[0.0000828808,0.0003818262,0.2529947,0.00009445167,0.0003524905,0.003794604,0.001079243,0.4280346,0.002805489,0.307194,0.002989633,0.0001960804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569244,0.0009947781,0.03305864,0.001820516,0.00003830024,0.00003327913,0.0001119949,0.00007831108,0.006939739],"genre_scores_gemma":[0.9981828,0.0002223391,0.001092092,0.00003474054,0.00002202151,0.000007822711,0.00002421036,0.000007264139,0.0004067481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00394435,"threshold_uncertainty_score":0.0131951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005958326894960859,"score_gpt":0.249945204813292,"score_spread":0.2439868779183312,"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."}}