{"id":"W6931756904","doi":"10.5281/zenodo.6762022","title":"Artibeus aztecus K. Andersen 1906","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bone Metabolism and Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artibeus; Subspecies; Dorsum; Subgenus; Amazon basin; Nocturnal","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":[0.0000866537,0.0007177955,0.0003498509,0.002051829,0.00203197,0.0005416803,0.0006710869,0.0006906981,0.0160074],"category_scores_gemma":[0.0002801311,0.0003085695,0.0002065278,0.001234892,0.0007482315,0.001091029,0.0008569109,0.0005495815,0.006433343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536963,"about_ca_system_score_gemma":0.0005653606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06168405,"about_ca_topic_score_gemma":0.1062591,"domain_scores_codex":[0.9997584,0.00001313806,0.00002051659,0.00008211185,0.00009575206,0.00003007653],"domain_scores_gemma":[0.9997824,0.00002908994,0.0001063953,0.00001537101,0.00004436642,0.00002241303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006509808,0.0001877582,0.077385,0.001500719,0.0001111998,0.002628359,0.003037367,0.00125699,0.02630594,0.007338006,0.05224838,0.8273492],"study_design_scores_gemma":[0.00005468624,0.0001547526,0.4846843,0.0008557403,0.0001365335,0.00472829,0.00172317,0.0004759876,0.00229934,0.00107167,0.5037689,0.00004665484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2547078,0.05579686,0.003436127,0.001030243,0.001395429,0.00070582,0.01010139,0.0003732337,0.6724532],"genre_scores_gemma":[0.8740276,0.01878941,0.00828077,0.0007826378,0.0004108689,0.0002272258,0.007213588,0.0000412775,0.09022667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06168405,"threshold_uncertainty_score":0.12265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399174095767996,"score_gpt":0.2217807176341489,"score_spread":0.207788976676469,"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."}}