{"id":"W6949648844","doi":"10.5281/zenodo.16100764","title":"Megalotachea turonensis","year":2025,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Tyrrell Museum","funders":"","keywords":"Product (mathematics); Process (computing); Identification (biology); Work (physics)","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":[0.00009150516,0.0002996241,0.0002068007,0.0008500394,0.0003970297,0.000192775,0.0002854221,0.0002377898,0.004675334],"category_scores_gemma":[0.000177988,0.000125906,0.0001587063,0.0004565533,0.0002336345,0.0002462676,0.000677223,0.000199003,0.001503692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002222561,"about_ca_system_score_gemma":0.0001300114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003326725,"about_ca_topic_score_gemma":0.01206869,"domain_scores_codex":[0.999899,0.000008792555,0.000007505716,0.00004038963,0.00002398476,0.00002028696],"domain_scores_gemma":[0.9999206,0.00001490632,0.00002409546,0.00001513566,0.00001382607,0.00001147109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0015869,0.0001157061,0.1265112,0.001004607,0.0001775273,0.005094066,0.002781306,0.0008212334,0.4885192,0.001760221,0.005096357,0.3665316],"study_design_scores_gemma":[0.00002891522,0.0002993156,0.9334893,0.0001325038,0.00009460901,0.004293466,0.0007146236,0.0002459381,0.0121816,0.0002264187,0.04826937,0.00002395844],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9353479,0.002711855,0.001796335,0.00008116296,0.00008225466,0.0001078611,0.001614187,0.0001299989,0.05812842],"genre_scores_gemma":[0.9894025,0.0005392118,0.001373933,0.00005606647,0.00001703034,0.0000699356,0.001352856,0.00001394824,0.007174583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004675334,"threshold_uncertainty_score":0.01564056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03971147024629046,"score_gpt":0.2341244625144166,"score_spread":0.1944129922681261,"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."}}