{"id":"W6931009888","doi":"10.5281/zenodo.15020954","title":"Euura miltonota","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Amino Acid Enzymes and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Holotype; Type (biology); Willow; Habitat; Population","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":[0.00005341166,0.000561643,0.0002250039,0.001410864,0.0008459513,0.0005981848,0.000401135,0.0005065094,0.04522342],"category_scores_gemma":[0.0002053213,0.0002695444,0.0001802494,0.0006448901,0.0004469531,0.001102725,0.000975461,0.0004415069,0.009962765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003990455,"about_ca_system_score_gemma":0.0001902277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002014821,"about_ca_topic_score_gemma":0.005859288,"domain_scores_codex":[0.9999105,0.00001027009,0.00001249727,0.00003370145,0.00001908761,0.00001390482],"domain_scores_gemma":[0.9999512,0.000008686278,0.0000167755,0.000008703726,0.000009284367,0.000005237135],"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":[0.0002938883,0.00007826785,0.01895341,0.0008983489,0.00005510162,0.001143371,0.001153354,0.000401643,0.01925512,0.00784935,0.0191815,0.9307366],"study_design_scores_gemma":[0.00006806061,0.0002108505,0.2603011,0.001135987,0.0001335917,0.006592394,0.001768765,0.0003806996,0.003113768,0.002784471,0.7234763,0.00003393986],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2516793,0.01780327,0.005177812,0.0004867979,0.0007760362,0.0005827675,0.003848855,0.0006687094,0.7189764],"genre_scores_gemma":[0.8907598,0.00582393,0.004869943,0.0006727178,0.0001739029,0.0002791276,0.00363475,0.0000894408,0.09369635],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04522342,"threshold_uncertainty_score":0.1512874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412274560594281,"score_gpt":0.2426972226698312,"score_spread":0.2285744770638884,"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."}}