{"id":"W2949975447","doi":"10.1101/672410","title":"Scale-dependent effects of geography, host ecology, and host genetics, on species composition and co-occurrence in a stickleback parasite metacommunity","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metapopulation; Ecology; Metacommunity; Biology; Host (biology); Population; Abiotic component; Stickleback; Community; Spatial ecology; Biological dispersal; Fish <Actinopterygii>; Ecosystem; Fishery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004630777,0.0001454107,0.000293273,0.0006847007,0.000423156,0.0006446707,0.0001972805,0.0001976963,0.001362606],"category_scores_gemma":[0.001244151,0.0001459552,0.0001828881,0.0004378533,0.000788178,0.0002020096,0.0006020657,0.0002121122,0.00009346749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004330804,"about_ca_system_score_gemma":0.0003465342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04330741,"about_ca_topic_score_gemma":0.1097804,"domain_scores_codex":[0.9997161,0.0000810534,0.00001437281,0.00008778182,0.00004892994,0.00005163864],"domain_scores_gemma":[0.9988195,0.0004439847,0.0002607991,0.0001054593,0.00009205242,0.0002781662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002330135,0.00003126923,0.9391285,0.00002868039,0.0001838762,0.0001478023,0.0005113054,0.0007733952,0.05513071,0.0001204499,0.0001032935,0.003607675],"study_design_scores_gemma":[0.000002116605,0.00001253136,0.9989417,0.000001187988,0.00001386593,0.00001782378,0.0001370487,0.0005810595,0.0002277948,0.00002839553,0.00003410858,0.000002427198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997415,0.00002148756,0.00007359134,0.000005239823,2.871325e-7,9.847853e-7,0.00004373573,0.000002923173,0.0001103907],"genre_scores_gemma":[0.9998477,0.000007510042,0.00005206399,0.000003830461,4.269507e-7,0.000001163054,0.00003172798,0.000001669459,0.00005382617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04330741,"threshold_uncertainty_score":0.08611071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106791261756556,"score_gpt":0.260584935534049,"score_spread":0.2499058093583934,"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."}}