{"id":"W2091967468","doi":"10.1186/1471-2148-13-10","title":"Species richness, distribution and genetic diversity of Caenorhabditis nematodes in a remote tropical rainforest","year":2013,"lang":"en","type":"article","venue":"BMC Evolutionary Biology","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; National Institute of General Medical Sciences; Centre National de la Recherche Scientifique; University of Toronto; Agence Nationale de la Recherche","keywords":"Biology; Rainforest; Caenorhabditis elegans; Species richness; Entomology; Caenorhabditis; Evolutionary biology; Ecology; Genetic diversity; Abundance (ecology); Tropical rainforest; Biodiversity; Genetics; Gene","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":[0.0002312951,0.0002447484,0.0001938073,0.001951324,0.0006254418,0.0003775085,0.000253386,0.0002521084,0.0008712457],"category_scores_gemma":[0.0003635488,0.0001120203,0.0001753684,0.00066827,0.0005226934,0.0001589219,0.0003503422,0.0001313577,0.00009383327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007308567,"about_ca_system_score_gemma":0.0002937297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1096004,"about_ca_topic_score_gemma":0.2354068,"domain_scores_codex":[0.9997858,0.00003285982,0.00001028842,0.00006474114,0.0000389349,0.00006734704],"domain_scores_gemma":[0.9996443,0.00006809703,0.0001262873,0.00002411956,0.00006754397,0.00006955492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009415841,0.00002961094,0.9730561,0.00003521366,0.00006334525,0.0002823676,0.001808009,0.00007114054,0.02035983,0.00003309261,0.00006944581,0.004097519],"study_design_scores_gemma":[0.00000100813,0.00001510366,0.9994881,0.000001870201,0.000004892323,0.00008507796,0.0002443841,0.00002730739,0.00007786618,0.000002542986,0.00005036142,0.000001366887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999615,0.00009878162,0.00003580248,0.000006839255,3.287354e-7,0.00000577066,0.0001017844,0.000002739787,0.000132824],"genre_scores_gemma":[0.9996754,0.00003785697,0.00009765783,0.000007859973,0.000001015235,0.000003991263,0.0001367651,4.753048e-7,0.00003893688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1096004,"threshold_uncertainty_score":0.217925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048334317057697,"score_gpt":0.2110138699776394,"score_spread":0.2005305268070624,"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."}}