{"id":"W6950220874","doi":"10.5281/zenodo.6580696","title":"Myotis keaysi J. A. Allen 1914","year":2019,"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":"Subgenus; Dorsum; Subspecies; Skull; Snout","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":[0.00007715751,0.0007715292,0.000385538,0.001155339,0.001087941,0.0003628546,0.000560112,0.0006099313,0.03679489],"category_scores_gemma":[0.0003223274,0.0003052337,0.0001882795,0.0005403532,0.0004873268,0.001186251,0.0009994874,0.0005473741,0.02027874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005428952,"about_ca_system_score_gemma":0.0002271516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01300809,"about_ca_topic_score_gemma":0.0249819,"domain_scores_codex":[0.9998618,0.000009433151,0.00001341154,0.00005111466,0.00004756765,0.00001661643],"domain_scores_gemma":[0.9998709,0.00001844111,0.00005663775,0.000007552989,0.00003073087,0.00001571606],"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":[0.00026132,0.0001022067,0.01277898,0.001014216,0.00006556949,0.002382803,0.001239758,0.0003976655,0.01921734,0.006064528,0.1005798,0.8558958],"study_design_scores_gemma":[0.00003642897,0.0002213512,0.09654834,0.0007402364,0.00005720133,0.005872014,0.0006881408,0.0002646623,0.002302071,0.001017193,0.8922279,0.00002446656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09700738,0.05919613,0.006186921,0.002523405,0.002832552,0.0006915459,0.004933043,0.0008626249,0.8257663],"genre_scores_gemma":[0.579072,0.02555058,0.008781196,0.001856778,0.001048484,0.0003198384,0.003699594,0.00009339505,0.3795782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03679489,"threshold_uncertainty_score":0.1230912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02962319972811645,"score_gpt":0.2101005521585854,"score_spread":0.1804773524304689,"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."}}