{"id":"W6949390515","doi":"10.5281/zenodo.15020779","title":"Euura retusae","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bryophyte Studies and Records","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Type (biology); Natural (archaeology); Willow","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":[0.00009322813,0.0003775164,0.0002098139,0.0009029795,0.0008892298,0.0003828116,0.0002899239,0.0002849181,0.01804671],"category_scores_gemma":[0.0002185771,0.0001608741,0.0001335493,0.0005811157,0.0004126008,0.0006167626,0.0007055881,0.0002978176,0.003014402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004584077,"about_ca_system_score_gemma":0.0001628614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005202214,"about_ca_topic_score_gemma":0.01284826,"domain_scores_codex":[0.9999094,0.0000136426,0.000006828669,0.00003743211,0.00001618727,0.00001648237],"domain_scores_gemma":[0.999943,0.000008858051,0.0000182798,0.000009488549,0.00001352911,0.000006973656],"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":[0.0005565681,0.00008007899,0.07509966,0.000790323,0.0001012647,0.003619728,0.004169073,0.0005041585,0.07000549,0.007877627,0.007837843,0.8293582],"study_design_scores_gemma":[0.00003450725,0.0002334589,0.5493375,0.0003010027,0.00007772963,0.006289265,0.002478924,0.0002540154,0.004485056,0.0009960604,0.4354827,0.0000298109],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6903452,0.006319317,0.002280331,0.0001494641,0.0002437206,0.000116742,0.001108236,0.0002442466,0.2991926],"genre_scores_gemma":[0.9627059,0.001147859,0.001496712,0.0001164961,0.00004119501,0.00003253077,0.001357798,0.00003919958,0.03306229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01804671,"threshold_uncertainty_score":0.06037223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02324925981858069,"score_gpt":0.2202711626903353,"score_spread":0.1970219028717546,"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."}}