{"id":"W3112084109","doi":"10.3897/bdj.8.e60027","title":"A global food plant dataset for wild silkmoths and hawkmoths and its use in documenting polyphagy of their caterpillars (Lepidoptera: Bombycoidea: Saturniidae, Sphingidae)","year":2020,"lang":"en","type":"article","venue":"Biodiversity Data Journal","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Espace pour la vie","funders":"Fondation pour la Recherche sur la Biodiversite; Guanacaste Dry Forest Conservation Fund; Forest Conservation Fund; Agence Nationale de la Recherche; U.S. Department of Agriculture; University of Guelph; Smithsonian Institution","keywords":"Saturniidae; Generalist and specialist species; Sphingidae; Lepidoptera genitalia; Biology; Herbivore; Ecology; Range (aeronautics); Food plant; Biodiversity; Habitat; Manduca sexta; Insect","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":[0.0005746651,0.0005554506,0.0006687766,0.005689877,0.0004452152,0.0006393992,0.0008537149,0.00088881,0.003820877],"category_scores_gemma":[0.001901235,0.0002525768,0.000815685,0.004559335,0.000307178,0.0007917171,0.001236156,0.0006299744,0.003187766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007372287,"about_ca_system_score_gemma":0.0009491321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01691338,"about_ca_topic_score_gemma":0.03168643,"domain_scores_codex":[0.9994121,0.00005620619,0.0001166995,0.0002088469,0.00013137,0.00007472767],"domain_scores_gemma":[0.9979088,0.0004131401,0.0006311231,0.0003066742,0.0004687132,0.0002715454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001140256,0.0004387359,0.5666931,0.007154566,0.0008393126,0.001844222,0.002067208,0.003869579,0.01748327,0.001696656,0.2775433,0.1192298],"study_design_scores_gemma":[0.0000756759,0.000117432,0.7915338,0.0004359946,0.000162485,0.0007792643,0.000855619,0.003376713,0.001787748,0.0004309977,0.2003726,0.00007165233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.09308397,0.0008437287,0.0009401685,0.0001064942,0.00004145459,0.00009003902,0.9025,0.0003633784,0.002030773],"genre_scores_gemma":[0.03753617,0.0002341367,0.003175493,0.00004002104,0.00001798966,0.0001519722,0.9583254,0.00003156354,0.0004872763],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01691338,"threshold_uncertainty_score":0.03362989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04767360848715772,"score_gpt":0.2422382623666531,"score_spread":0.1945646538794953,"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."}}