{"id":"W4409264601","doi":"10.1007/s12080-025-00613-y","title":"Environmental variability can prolong parasite co-occurrence within hosts and promote transmission among hosts","year":2025,"lang":"en","type":"article","venue":"Theoretical Ecology","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canada Research Chairs","keywords":"Parasite hosting; Transmission (telecommunications); Biology; Ecology; Co-occurrence; Zoology; Evolutionary biology; Computer science; Telecommunications; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004861771,0.0001455551,0.0002031812,0.0004273645,0.0003587229,0.0007304679,0.0002942939,0.000485503,0.002901263],"category_scores_gemma":[0.002808844,0.0001462954,0.0002066164,0.0002719116,0.0005362084,0.0005626117,0.0006254379,0.0005011007,0.0001562494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003942245,"about_ca_system_score_gemma":0.0002468789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005507402,"about_ca_topic_score_gemma":0.001535025,"domain_scores_codex":[0.9997873,0.00007697353,0.00001179552,0.00005465721,0.00002772255,0.00004156662],"domain_scores_gemma":[0.9975842,0.001052233,0.0007486491,0.0002003073,0.00009394575,0.0003206811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007323014,0.0005951037,0.6966202,0.0002952615,0.0004850975,0.002107148,0.0005978409,0.03524081,0.1767036,0.03949336,0.001338025,0.04579131],"study_design_scores_gemma":[0.00003573035,0.000515065,0.8798025,0.00003843194,0.000195903,0.001409651,0.001063215,0.06486417,0.008277012,0.04058625,0.003156699,0.00005545029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902969,0.0002317328,0.005681378,0.0002386785,0.00002558787,0.00000548712,0.00005165063,0.00003160636,0.003437022],"genre_scores_gemma":[0.9995188,0.00003479872,0.0002445111,0.00001824033,0.000009428691,0.000002077107,0.00001375242,0.000004147225,0.0001542564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002901263,"threshold_uncertainty_score":0.009705663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003579352736679781,"score_gpt":0.2792375023848898,"score_spread":0.27565814964821,"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."}}