{"id":"W3197815046","doi":"10.1101/2020.12.01.406884","title":"Scaling effects of temperature on parasitism from individuals to host–parasite systems","year":2020,"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 British Columbia","funders":"Fogarty International Center; National Institutes of Health; National Science Foundation","keywords":"Parasitism; Population; Host (biology); Biology; Vector (molecular biology); Trait; Ecology; Parasite hosting; Statistics; Mathematics; Computer science; Demography; Genetics","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":[0.000921254,0.0002016795,0.0003594251,0.0005025225,0.0002910522,0.0007600561,0.0002852725,0.0002877704,0.001651173],"category_scores_gemma":[0.006702768,0.0002723072,0.0004628594,0.0002737363,0.0009047178,0.0007648443,0.0005918451,0.000358217,0.0001248542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000623716,"about_ca_system_score_gemma":0.0001761261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001721861,"about_ca_topic_score_gemma":0.001137815,"domain_scores_codex":[0.9996835,0.0001427833,0.00001887185,0.00008658669,0.00003115863,0.00003719341],"domain_scores_gemma":[0.9974766,0.001443291,0.0004414663,0.0003294843,0.0001704914,0.0001385617],"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":[0.0002599927,0.0001086732,0.3897942,0.0002183128,0.0005389622,0.0002919423,0.0008405154,0.5161121,0.06236852,0.01130639,0.0007034183,0.01745705],"study_design_scores_gemma":[0.00001790436,0.0001627735,0.4725719,0.00001699216,0.00008391752,0.0002002625,0.0002374789,0.5127145,0.002446169,0.01106314,0.0004290357,0.00005592853],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956622,0.0000693794,0.003267392,0.00004569763,0.000002856293,0.000008008257,0.0000503554,0.00002629972,0.0008677616],"genre_scores_gemma":[0.9994693,0.00001842413,0.0004360024,0.000004117464,0.000002123872,0.000003784835,0.00002166157,0.000004419649,0.00004011207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001721861,"threshold_uncertainty_score":0.005523682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080174795578161,"score_gpt":0.2573188139279802,"score_spread":0.2465170659721986,"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."}}