{"id":"W4281610286","doi":"10.1016/j.pt.2022.05.010","title":"Predators, aquatic vectors, and trophic cascades","year":2022,"lang":"en","type":"letter","venue":"Trends in Parasitology","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Huntsman Marine Science Centre; Environment and Climate Change Canada","funders":"","keywords":"Predation; Trophic level; Biology; Ecology; Population; Trophic cascade; Aquatic ecosystem; Apex predator; Food web; Food chain; Predator; Zoology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001250332,0.0003143486,0.0004554098,0.0003449806,0.0001775647,0.00001402095,0.0003593148,0.000749536,0.01780494],"category_scores_gemma":[0.00003186784,0.0003087063,0.00008225424,0.0003525025,0.0005152074,0.00008967057,0.0002429813,0.002082613,0.0003990088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002458785,"about_ca_system_score_gemma":0.000012055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009768809,"about_ca_topic_score_gemma":0.001021287,"domain_scores_codex":[0.9978623,0.0004431549,0.0003318295,0.0006881126,0.0001661382,0.0005085131],"domain_scores_gemma":[0.9991114,0.0002969194,0.0001571828,0.0003820373,0.000001397962,0.00005108428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003116437,0.00003931532,0.4706459,0.000005890503,0.0000426736,0.0006448707,0.0001642772,0.00002102613,0.00003838123,0.00001543194,0.524761,0.003590072],"study_design_scores_gemma":[0.000196383,0.000163948,0.2862905,0.000006270576,0.00005276424,0.0004583814,0.00001101555,0.00005360784,0.000009449754,0.0002374904,0.7122568,0.0002633856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6666155,0.0008645894,0.000007779518,0.2959875,0.002990802,0.0002830674,0.0001671846,0.0001625898,0.03292092],"genre_scores_gemma":[0.5230591,0.0004695582,0.0005569668,0.3896082,0.002300426,0.0007885194,0.003117165,0.0001758431,0.0799242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1874957,"threshold_uncertainty_score":0.9999365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02040494092692438,"score_gpt":0.3436613375391289,"score_spread":0.3232563966122045,"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."}}