{"id":"W6968044155","doi":"10.5281/zenodo.13441291","title":"Myotis lavali (Chiroptera: Vespertilionidae)","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dorsum; Taxonomy (biology); Taxon; Natural (archaeology); European union","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002136338,0.0006788578,0.0004860624,0.005240778,0.0005523741,0.000788837,0.0004950839,0.0003290037,0.1098724],"category_scores_gemma":[0.0005816485,0.0002002272,0.0001794866,0.003545681,0.0001982759,0.0008890257,0.0008386477,0.0002889473,0.04113321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002508302,"about_ca_system_score_gemma":0.0003869684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009136064,"about_ca_topic_score_gemma":0.01933359,"domain_scores_codex":[0.9998364,0.00001650606,0.00002460024,0.00004218009,0.00006210813,0.00001820313],"domain_scores_gemma":[0.9998174,0.00004438613,0.00004669538,0.00001623934,0.00005622669,0.00001895358],"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":[0.0001937201,0.00004750349,0.01193248,0.005648876,0.00006059865,0.0005032381,0.001503205,0.0001945703,0.006480876,0.001852668,0.3834166,0.5881658],"study_design_scores_gemma":[0.00001167796,0.0000381748,0.05782493,0.0007359125,0.0000462179,0.00136776,0.0004384524,0.0001534602,0.0006604807,0.0004104733,0.9382949,0.00001763743],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06281257,0.08091355,0.009081534,0.003704308,0.002542008,0.0006524521,0.5340498,0.006338176,0.2999056],"genre_scores_gemma":[0.2034222,0.05458685,0.02359338,0.001249233,0.001438299,0.0006654696,0.4309156,0.0009537708,0.2831751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1098724,"threshold_uncertainty_score":0.3675599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03529585876609213,"score_gpt":0.213660871092247,"score_spread":0.1783650123261548,"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."}}