{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003033252,0.0001876445,0.0002556441,0.00004209081,0.0001565973,0.00009285212,0.0004213775,0.0001588771,0.00000826213],"category_scores_gemma":[0.000235988,0.0001657162,0.00004265826,0.0000644216,0.0001014823,0.00008787015,0.0008697241,0.0001404025,0.000001544157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001322533,"about_ca_system_score_gemma":0.00006077434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001006001,"about_ca_topic_score_gemma":0.0001741336,"domain_scores_codex":[0.998862,0.00007897041,0.0002683548,0.000439778,0.00007468968,0.0002762397],"domain_scores_gemma":[0.9992639,0.00004748295,0.00021079,0.0002506669,0.00005019853,0.0001769319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001475969,0.0001079565,0.963686,0.0001425445,0.0005316735,0.00005462419,0.0002920068,0.000006647606,0.002561699,0.00004213507,0.02154528,0.009553477],"study_design_scores_gemma":[0.008744566,0.002177879,0.04902736,0.0001478605,0.0003093083,0.0007345114,0.0009589487,0.0005169009,0.008653571,0.00007096872,0.9276431,0.001015007],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454219,0.00195166,0.0002513915,0.0007001679,0.0001040396,0.0002114953,0.05132675,0.000003715886,0.00002892311],"genre_scores_gemma":[0.9905864,0.0007437032,0.001074237,0.0009509424,0.0001252363,9.296051e-7,0.006512831,0.000003888791,0.000001853891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9146586,"threshold_uncertainty_score":0.675771,"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."}}