{"id":"W6949691114","doi":"10.5281/zenodo.15020804","title":"Euura excisa","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Claw; Dorsum; Tarsus (eyelids); Seta; 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":[0.00005611375,0.0005152497,0.0002252144,0.001167464,0.0009562597,0.0004090319,0.0002814157,0.00035928,0.03277842],"category_scores_gemma":[0.000232836,0.0001414751,0.0001468747,0.0004756974,0.000354235,0.0006392642,0.0007735861,0.0004096741,0.01200578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003128448,"about_ca_system_score_gemma":0.0001688999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001794903,"about_ca_topic_score_gemma":0.003839877,"domain_scores_codex":[0.9998791,0.0000170782,0.00001308842,0.00004301673,0.00002774115,0.00001987893],"domain_scores_gemma":[0.9999096,0.0000136263,0.00003042429,0.00001170724,0.00002370721,0.0000109163],"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":[0.0002217243,0.00007807663,0.0155189,0.0005556687,0.00003863433,0.001891157,0.0008785586,0.0003570103,0.03148888,0.00808897,0.02881972,0.9120627],"study_design_scores_gemma":[0.00003880611,0.0001884972,0.1410372,0.0005023534,0.00007724061,0.007935225,0.001182215,0.0003123228,0.00498109,0.001164874,0.8425536,0.00002661482],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1696375,0.008713061,0.004820892,0.0003350336,0.0005746574,0.0002479442,0.003704986,0.0007079231,0.811258],"genre_scores_gemma":[0.8291233,0.003861186,0.007450199,0.000665992,0.0002458488,0.000171408,0.006046612,0.0001217017,0.1523138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03277842,"threshold_uncertainty_score":0.1096547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806322652024791,"score_gpt":0.240209687547492,"score_spread":0.2221464610272441,"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."}}