{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008986596,0.0005655694,0.0002483101,0.001404234,0.001142336,0.0006256314,0.0004793201,0.0005548994,0.01989307],"category_scores_gemma":[0.0003485139,0.0001682871,0.0002093313,0.0006873089,0.0004576851,0.0007332566,0.000853902,0.0003726063,0.008112202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007328085,"about_ca_system_score_gemma":0.0004212541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005666858,"about_ca_topic_score_gemma":0.01223104,"domain_scores_codex":[0.9998587,0.00001607762,0.00001360426,0.0000423079,0.00003390059,0.00003546475],"domain_scores_gemma":[0.9999212,0.00001240816,0.00002559079,0.000008804781,0.00002353986,0.000008443526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003238615,0.00006239513,0.03071317,0.0008277103,0.00006342046,0.003320715,0.00197524,0.0004753034,0.02950238,0.009031513,0.01655881,0.9071456],"study_design_scores_gemma":[0.00004879067,0.0001926265,0.1145001,0.0007785081,0.0001054067,0.009006408,0.002423998,0.0004156912,0.004496492,0.002448228,0.8655472,0.00003652514],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2461876,0.02921329,0.007074532,0.0006580707,0.001349662,0.0002600049,0.004136358,0.0006371704,0.7104833],"genre_scores_gemma":[0.8962808,0.005112696,0.004808603,0.0005716904,0.0001325365,0.00009787113,0.003271583,0.00006180967,0.08966244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01989307,"threshold_uncertainty_score":0.066549,"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."}}