{"id":"W6949101971","doi":"10.5281/zenodo.11584321","title":"Trichoferus campestris","year":2022,"lang":"fr","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":"","funders":"","keywords":"Holotype; China; Inner mongolia; Chinese academy of sciences","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000515388,0.0005338974,0.0001355205,0.001305487,0.0008954509,0.0002279685,0.0003638378,0.0002547896,0.02019053],"category_scores_gemma":[0.0002047297,0.0001041668,0.000143438,0.0007047591,0.0002449263,0.0005214864,0.0003746667,0.0001790309,0.004895467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004616589,"about_ca_system_score_gemma":0.0002294249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02247521,"about_ca_topic_score_gemma":0.04407944,"domain_scores_codex":[0.9999114,0.00000796244,0.000006428532,0.00002732088,0.00002560145,0.00002126661],"domain_scores_gemma":[0.9999249,0.00001095595,0.00002706354,0.00001035136,0.00001596573,0.00001070375],"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":[0.0005181796,0.0002136614,0.1873695,0.00101709,0.00007216987,0.004343566,0.003486504,0.0004140668,0.07464827,0.003493993,0.03580404,0.688619],"study_design_scores_gemma":[0.00002650172,0.0002722081,0.7017381,0.0004242268,0.00006079821,0.0141165,0.004261757,0.0004213275,0.005709767,0.0006373191,0.2722889,0.00004269594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6835117,0.007312527,0.001458416,0.0005214348,0.0002720379,0.0002373789,0.005192959,0.0003463624,0.3011471],"genre_scores_gemma":[0.9572619,0.002463765,0.001836621,0.0001999337,0.00005060335,0.00005135942,0.002286857,0.00001604673,0.03583288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02247521,"threshold_uncertainty_score":0.0675441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04028660325863984,"score_gpt":0.2193004090167191,"score_spread":0.1790138057580792,"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."}}