{"id":"W7104749164","doi":"10.5281/zenodo.17574330","title":"Acicnemis postica Hubenthal 1919","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Holotype; Reading (process); Type (biology); Paratype","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":[0.00005257561,0.0003635975,0.0001461456,0.0008141571,0.001065688,0.000352316,0.0004027898,0.0003304358,0.01785995],"category_scores_gemma":[0.0002199003,0.0001213987,0.00007958128,0.0006618053,0.0003525418,0.0006980255,0.0004861085,0.0004169972,0.003430587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007696871,"about_ca_system_score_gemma":0.0003322712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01186174,"about_ca_topic_score_gemma":0.03078987,"domain_scores_codex":[0.9999347,0.000004330352,0.000003841422,0.00001850139,0.00002579487,0.00001287931],"domain_scores_gemma":[0.9999233,0.00001185206,0.00002359597,0.000008167593,0.00002530939,0.000007713043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003538821,0.0001240087,0.0344796,0.000628243,0.00003889083,0.00359397,0.001450208,0.0008704299,0.04085172,0.01267711,0.06229819,0.8426338],"study_design_scores_gemma":[0.00006159691,0.0003090511,0.2973987,0.0003999324,0.00007402337,0.006096089,0.002218219,0.0007651792,0.00857095,0.002840951,0.6812282,0.00003709793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3067165,0.006015012,0.003145263,0.0006564474,0.0005411326,0.0003616555,0.003794014,0.0003866209,0.6783834],"genre_scores_gemma":[0.9327075,0.002476907,0.002089918,0.0003579146,0.0001494291,0.00007648688,0.00215593,0.00002160214,0.05996434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01785995,"threshold_uncertainty_score":0.05974752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910429066729977,"score_gpt":0.2338128115887309,"score_spread":0.2047085209214311,"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."}}