{"id":"W6930698994","doi":"10.5281/zenodo.15185833","title":"Iconella melitaraevora Fernandez-Triana 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Margin (machine learning); Type locality; Key (lock); Front (military); Genus","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003809752,0.001864679,0.0008983198,0.003234073,0.001976907,0.001143884,0.001944957,0.00190213,0.01605787],"category_scores_gemma":[0.0009306228,0.0004764684,0.000487961,0.002372359,0.0008757389,0.00231482,0.001029699,0.001692883,0.01261833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002727412,"about_ca_system_score_gemma":0.0009153342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05353257,"about_ca_topic_score_gemma":0.09908297,"domain_scores_codex":[0.9996178,0.00003609959,0.0000483383,0.0001485712,0.00008278993,0.00006625993],"domain_scores_gemma":[0.9994665,0.00006789636,0.0001876963,0.00006803235,0.0001541704,0.0000557729],"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":[0.001032636,0.0003555605,0.02963325,0.002703148,0.0002299929,0.008105977,0.002475897,0.001732957,0.0219897,0.002611574,0.1073402,0.8217891],"study_design_scores_gemma":[0.0002954214,0.0002603639,0.1561849,0.002970958,0.0004882118,0.01252595,0.002771231,0.0008551272,0.003966453,0.0008533688,0.8187273,0.0001006635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1325749,0.06826358,0.01364857,0.005032401,0.006937901,0.004600305,0.0419648,0.002936782,0.7240407],"genre_scores_gemma":[0.733056,0.03421328,0.04460227,0.008774167,0.001976765,0.003702737,0.04115696,0.0004937617,0.1320239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05353257,"threshold_uncertainty_score":0.106442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02295818262710357,"score_gpt":0.2483391958522476,"score_spread":0.225381013225144,"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."}}