{"id":"W6968114575","doi":"10.5281/zenodo.14040782","title":"Helioctamenus groehni Alekseev et Bukejs 2024, sp. nov.","year":2024,"lang":"en","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":"Royal Saskatchewan Museum; University of Regina","funders":"","keywords":"Fagaceae; Head (geology); Sexual dimorphism; Type (biology)","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":[0.0002493,0.001177019,0.0004637206,0.002039524,0.001406368,0.000956947,0.0007845531,0.001261301,0.01610851],"category_scores_gemma":[0.0006844922,0.0004884735,0.0002978974,0.001505578,0.0007763462,0.002074148,0.001043727,0.001390262,0.01151423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009429264,"about_ca_system_score_gemma":0.000653321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01077065,"about_ca_topic_score_gemma":0.01251158,"domain_scores_codex":[0.9996679,0.00003417869,0.00004554554,0.0001080759,0.00009362804,0.00005071977],"domain_scores_gemma":[0.9997821,0.00003753254,0.00006024327,0.00003652636,0.00005596055,0.00002756129],"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":[0.00112323,0.0002429272,0.03847531,0.00349296,0.0003955227,0.007890732,0.003535377,0.003306997,0.05789695,0.006557647,0.1191572,0.7579252],"study_design_scores_gemma":[0.0001623013,0.0002475449,0.1523813,0.001333593,0.0004844118,0.01411646,0.002809204,0.0009189694,0.006494723,0.001714132,0.819228,0.0001093351],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3406525,0.05638645,0.02346572,0.003177544,0.007262834,0.002416836,0.04501369,0.002871385,0.5187531],"genre_scores_gemma":[0.7765102,0.02298231,0.02297849,0.002766657,0.001129897,0.001277907,0.05019961,0.0004671451,0.1216878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01610851,"threshold_uncertainty_score":0.05388832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03675115702363096,"score_gpt":0.2349277569295025,"score_spread":0.1981765999058716,"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."}}