{"id":"W6893282975","doi":"10.5281/zenodo.15296717","title":"Dialineura Rondani 1856","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Orthoptera Research and Taxonomy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal British Columbia Museum","funders":"","keywords":"Boreal; Genus; Taiga; Key (lock); Taxonomy (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":[0.0001760315,0.0005847996,0.0003092684,0.001037126,0.0008255658,0.000389108,0.0004415725,0.0002645812,0.008435802],"category_scores_gemma":[0.0002295588,0.0001638851,0.0001334091,0.0003129952,0.0003603804,0.0007324853,0.0006264225,0.0003734909,0.002235825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004113957,"about_ca_system_score_gemma":0.0001783619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00336032,"about_ca_topic_score_gemma":0.006775005,"domain_scores_codex":[0.9998775,0.00001832827,0.00001056578,0.00003992004,0.00003057846,0.00002298439],"domain_scores_gemma":[0.9999387,0.00001258147,0.00002059432,0.000008117222,0.00001212043,0.000007763056],"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":[0.0004557255,0.0001682071,0.05686164,0.001663287,0.0001146817,0.003361705,0.002983827,0.001605675,0.09123192,0.01680164,0.01873408,0.8060176],"study_design_scores_gemma":[0.00006204381,0.0004815497,0.3721856,0.0005122116,0.0001451349,0.007973162,0.001106273,0.001069664,0.006770339,0.002171422,0.6074627,0.00005992614],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5689995,0.03078169,0.004428862,0.0004841234,0.0005940226,0.0003061839,0.002386232,0.000713154,0.3913063],"genre_scores_gemma":[0.9580693,0.004908665,0.003620175,0.0003051708,0.0001321469,0.0001109777,0.001458297,0.00002774075,0.03136741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008435802,"threshold_uncertainty_score":0.02822059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02992738480115236,"score_gpt":0.2258761922032984,"score_spread":0.195948807402146,"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."}}