{"id":"W4379744676","doi":"10.1101/2023.06.05.543787","title":"Environmental variability can promote parasite diversity within hosts and transmission among hosts","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Diversity (politics); Parasite hosting; Transmission (telecommunications); Biology; Ecology; Geography; Political science; Computer science; Telecommunications","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":[0.0004365824,0.0001776799,0.0002832389,0.0002994796,0.0003150612,0.0006925045,0.0002218147,0.0004537989,0.001433173],"category_scores_gemma":[0.002098315,0.000138167,0.0002876291,0.0002603053,0.0004704929,0.0004725832,0.0005205349,0.0004495054,0.0001097795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003437628,"about_ca_system_score_gemma":0.0002657809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291389,"about_ca_topic_score_gemma":0.001700001,"domain_scores_codex":[0.9997787,0.0000923478,0.000009607007,0.00005181818,0.0000230999,0.0000444077],"domain_scores_gemma":[0.9987484,0.0006366346,0.0003342885,0.00009099917,0.00005964435,0.0001299418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004290642,0.0002711484,0.3524698,0.000233223,0.0003945219,0.001276613,0.0003710831,0.4869832,0.1231513,0.01772032,0.001438004,0.0152618],"study_design_scores_gemma":[0.00004339121,0.0003087434,0.2525985,0.00003600883,0.0001400849,0.0005355952,0.0004601667,0.7126955,0.009795442,0.0216086,0.00170899,0.00006900569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942808,0.00008432204,0.00466528,0.0001214571,0.00000901649,0.000002560975,0.00008567549,0.0000252197,0.0007255845],"genre_scores_gemma":[0.9995494,0.00002619653,0.0003009958,0.000009339183,0.000003370481,0.000001779571,0.00002385547,0.000003499996,0.00008150982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001433173,"threshold_uncertainty_score":0.004794419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244068760211749,"score_gpt":0.2354424170557044,"score_spread":0.2230017294535869,"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."}}