{"id":"W3204365923","doi":"10.1163/15685381-bja10070","title":"DNA metabarcoding reveals fine scale geographical differences of consumed algae in the Galápagos marine iguanas (Amblyrhynchus cristatus)","year":2021,"lang":"en","type":"article","venue":"Amphibia-Reptilia","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Deutsche Forschungsgemeinschaft","keywords":"Subspecies; Biology; Algae; DNA barcoding; Ecology; Chlorophyta; Botany; Brown algae; Red algae; Zoology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005634435,0.0002929227,0.000482273,0.00007244476,0.0002378117,0.00003847063,0.0005629155,0.0001050801,0.003241967],"category_scores_gemma":[0.0001877147,0.0002310466,0.0002067921,0.0006124368,0.001221908,0.0001829502,0.0009980197,0.0002761643,0.0001849249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009738619,"about_ca_system_score_gemma":0.000007131882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00172815,"about_ca_topic_score_gemma":0.004042902,"domain_scores_codex":[0.9972835,0.0002866363,0.0005067367,0.0006474181,0.0007682958,0.0005074003],"domain_scores_gemma":[0.998718,0.0003454476,0.0001755699,0.0006371902,0.00001422605,0.0001096249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002651272,0.0002602726,0.953388,0.00002184587,0.0000457059,0.00006120613,0.0006760504,0.000007363711,0.04095049,0.00004990309,0.002028191,0.002484504],"study_design_scores_gemma":[0.0005600622,0.00006812385,0.9876672,0.00003446067,0.00007964268,0.00001774426,0.001306931,0.00002852599,0.008671373,0.0004454467,0.0008682825,0.0002522032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931148,0.0002876841,0.00000903357,0.001143425,0.0001044632,0.0003591558,0.00005334827,0.00002740417,0.004900745],"genre_scores_gemma":[0.9959252,0.0003252743,0.002711299,0.0003722699,0.0000201879,0.00003779439,0.00003101093,0.00001203934,0.0005648787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03427925,"threshold_uncertainty_score":0.9976692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707357686980347,"score_gpt":0.2267432246943622,"score_spread":0.2096696478245588,"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."}}