{"id":"W1894591502","doi":"10.1002/ece3.49","title":"High‐throughput sequencing offers insight into mechanisms of resource partitioning in cryptic bat species","year":2011,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":227,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Danmarks Grundforskningsfond; National Research Foundation; Hakai Institute; Bat Conservation Trust","keywords":"Species complex; Biology; Throughput; Computational biology; DNA sequencing; Resource (disambiguation); Evolutionary biology; Computer science; Genetics; Gene; Phylogenetic tree","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005309322,0.0002448199,0.000364552,0.00061909,0.0004086476,0.0006254719,0.000232615,0.000476933,0.0006787773],"category_scores_gemma":[0.0008117112,0.0002576851,0.000231423,0.0005156241,0.0002591002,0.0005736533,0.0003442677,0.0002987145,0.0003106114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003338722,"about_ca_system_score_gemma":0.0001731739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001094591,"about_ca_topic_score_gemma":0.003275644,"domain_scores_codex":[0.9997144,0.00004409792,0.0000180979,0.0001323444,0.00006143691,0.00002952507],"domain_scores_gemma":[0.9991998,0.0003044408,0.0002755613,0.00007885511,0.00008142756,0.00005987795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002259483,0.00007360673,0.09272482,0.000248017,0.0001327241,0.0001281753,0.000510873,0.001501801,0.8815727,0.001048259,0.000176435,0.02165666],"study_design_scores_gemma":[0.00001849601,0.0002067938,0.9506084,0.00004885701,0.00007566906,0.0004647451,0.0003065717,0.01727279,0.02541655,0.002191972,0.003359407,0.00002975034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868283,0.0008758757,0.01043788,0.00006676742,0.000006180123,0.000016198,0.0008028405,0.00006483786,0.0009010318],"genre_scores_gemma":[0.9865382,0.0003648792,0.01135758,0.0001027462,0.00001381507,0.00003172118,0.0009207971,0.00002119217,0.0006491861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001094591,"threshold_uncertainty_score":0.002807856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02996823634618346,"score_gpt":0.1928446103956227,"score_spread":0.1628763740494392,"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."}}