{"id":"W7131089716","doi":"10.1109/iccvw69036.2025.00536","title":"Fine-Grained Beetle Taxonomy with Vision Models: A Benchmark on Long-Tailed and Domain-Adaptive Classification","year":2025,"lang":"","type":"article","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Food and Agriculture; National Science Foundation","keywords":"Taxonomy (biology); Benchmark (surveying); Domain (mathematical analysis); Biological classification; Taxonomic rank; Random forest; Biodiversity","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":[0.002969386,0.002237085,0.0009751474,0.001744906,0.0007570314,0.001662811,0.002336374,0.00243494,0.001574681],"category_scores_gemma":[0.007126811,0.0003906539,0.001312043,0.001647658,0.00100523,0.002481953,0.002215118,0.002294334,0.001471522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534671,"about_ca_system_score_gemma":0.001457982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01560102,"about_ca_topic_score_gemma":0.01213606,"domain_scores_codex":[0.9982089,0.0003567729,0.0001386457,0.0007592635,0.0003358375,0.0002006516],"domain_scores_gemma":[0.9971702,0.001078135,0.0001986372,0.0006921784,0.0006211065,0.000239851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001212159,0.001362833,0.0202527,0.001002311,0.0006360668,0.0003706343,0.0002475341,0.4518268,0.02010117,0.001894374,0.0278266,0.4732669],"study_design_scores_gemma":[0.0001291615,0.0004754366,0.01036091,0.00009058088,0.00007806207,0.0002646082,0.0003109506,0.9625308,0.01521098,0.004586167,0.005911171,0.00005107663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8297341,0.007782091,0.1233238,0.001650507,0.000771153,0.0006645016,0.0113628,0.01494722,0.009763765],"genre_scores_gemma":[0.8293893,0.001122259,0.1360044,0.0006652953,0.0001381054,0.0002887796,0.02884636,0.0004064187,0.003138938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01560102,"threshold_uncertainty_score":0.0310204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350666473519932,"score_gpt":0.2550583772086114,"score_spread":0.2415517124734121,"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."}}