{"id":"W6930814763","doi":"10.5281/zenodo.15020896","title":"Euura latibasis","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Holotype; Haplotype; Minimum distance; Distribution (mathematics); Genetic distance","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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001388036,0.0001240433,0.000143472,0.00021239,0.002303567,0.001301026,0.001443343,0.00005121821,0.04163471],"category_scores_gemma":[0.001248116,0.000122234,0.00003553728,0.0006362319,0.0002342925,0.0002725976,0.001303807,0.0001621122,0.01823746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001022623,"about_ca_system_score_gemma":0.000005464968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002729342,"about_ca_topic_score_gemma":2.074355e-7,"domain_scores_codex":[0.9981411,0.0004358668,0.0002527001,0.0004552639,0.0003407654,0.0003743383],"domain_scores_gemma":[0.998926,0.00004006273,0.00009325131,0.0005144328,0.0003275986,0.00009868012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005211823,0.00009106597,0.00001784675,0.00009016799,0.0000101488,0.000008811624,0.0005854854,0.0006535423,0.7724292,0.02632196,0.163041,0.03669873],"study_design_scores_gemma":[0.000257223,0.00007287271,0.001295428,0.00003787849,0.000008268255,0.00002553404,0.00009040581,0.001064989,0.02559905,0.0008343383,0.9705611,0.0001528938],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3407429,0.00009184865,0.0396737,0.003709081,0.000976667,0.0006119327,0.0001701789,0.003002095,0.6110216],"genre_scores_gemma":[0.9897554,0.00001839044,0.004240265,0.0005518106,0.0001280963,5.726816e-8,0.0002162042,0.0006203346,0.004469439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8075202,"threshold_uncertainty_score":0.9997357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030639035407476,"score_gpt":0.2636255454512536,"score_spread":0.2433191550971788,"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."}}