{"id":"W2034772955","doi":"10.1111/j.1600-0706.2012.20211.x","title":"Predicting the similarity of parasite communities in freshwater fishes using the phylogeny, ecology and proximity of hosts","year":2012,"lang":"en","type":"article","venue":"Oikos","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Biology; Ecology; DNA barcoding; Host (biology); Parasite hosting; Trophic level; Phylogenetics; Abundance (ecology); Phylogenetic tree; Distance decay; Zoology; Geographical distance; Spatial ecology; Population; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004947996,0.0002090917,0.0002373142,0.001271292,0.0004590634,0.0005245586,0.0001657959,0.0002841829,0.0004663552],"category_scores_gemma":[0.001904127,0.0002239478,0.0001923406,0.00059918,0.0004606823,0.0004741353,0.0005265057,0.0002217496,0.0001190125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005963922,"about_ca_system_score_gemma":0.0004678457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03085415,"about_ca_topic_score_gemma":0.09160416,"domain_scores_codex":[0.9997407,0.0000732023,0.00002053267,0.0000753478,0.00004853577,0.00004174097],"domain_scores_gemma":[0.9990554,0.0003029754,0.0003567119,0.00003366191,0.0001032288,0.0001479321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007604135,0.00002656123,0.9830925,0.00002735774,0.00005588035,0.0000294403,0.0002275588,0.001648034,0.009587543,0.0000405603,0.00002358101,0.00516491],"study_design_scores_gemma":[0.000002575695,0.00005687629,0.9953926,0.00000428636,0.000009227281,0.00003756244,0.0002748962,0.003683641,0.0004250273,0.00006105358,0.00004595321,0.000006344467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996357,0.00002303922,0.0002535931,0.000003270709,1.728218e-7,0.000002274746,0.00002494662,0.000001901655,0.00005522207],"genre_scores_gemma":[0.9991065,0.00002391335,0.0007169016,0.000001870955,6.725976e-7,0.000002710457,0.00009161611,8.469905e-7,0.00005505584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03085415,"threshold_uncertainty_score":0.06134915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03299704353574465,"score_gpt":0.3111882402088358,"score_spread":0.2781911966730911,"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."}}