{"id":"W2141710759","doi":"10.1111/ecog.00762","title":"Cryptic matters: overlooked species generate most butterfly beta‐diversity","year":2014,"lang":"en","type":"article","venue":"Ecography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ministerio de Ciencia e Innovación","keywords":"Species complex; Biology; Beta diversity; Ecology; Sympatric speciation; Biodiversity; Species diversity; Fauna; Gamma diversity; Species richness; Phylogenetic tree","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00161802,0.0004147053,0.0006096648,0.001519318,0.0006102095,0.001249948,0.0004354566,0.0003957145,0.003221296],"category_scores_gemma":[0.005128889,0.0001915958,0.0003671908,0.001163785,0.001337307,0.001247783,0.001092597,0.0004405387,0.0003806251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003591494,"about_ca_system_score_gemma":0.0002591995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001425144,"about_ca_topic_score_gemma":0.002664937,"domain_scores_codex":[0.9984927,0.0003138836,0.0001346813,0.0005843851,0.0003145312,0.0001599319],"domain_scores_gemma":[0.9945782,0.002294167,0.001613605,0.0008027503,0.0003499526,0.0003612587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000325492,0.00003121015,0.9418982,0.0002825771,0.0003578516,0.0003023343,0.001378714,0.0002810709,0.0119723,0.0009337071,0.0004254832,0.04181118],"study_design_scores_gemma":[0.000006114361,0.00005212828,0.9946578,0.00003625876,0.00008279807,0.0004081629,0.0006234386,0.0007131653,0.0006890018,0.00154074,0.001181371,0.000008995401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920888,0.001542698,0.003391078,0.0001802938,0.00002453723,0.00001709766,0.000232205,0.000030177,0.00249315],"genre_scores_gemma":[0.9989107,0.0001799065,0.0005110772,0.00007904013,0.00002989216,0.000005612383,0.0001297327,0.000008197023,0.000145888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003221296,"threshold_uncertainty_score":0.01077634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03181370655030015,"score_gpt":0.1685893213652132,"score_spread":0.1367756148149131,"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."}}