{"id":"W6931278496","doi":"10.5281/zenodo.6403714","title":"Myotis leibii","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dorsum; Myotis lucifugus; Subgenus; Skull; Beak; Holotype","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":[0.0001283115,0.0009014205,0.0003786296,0.002421963,0.001716021,0.0006542522,0.000560911,0.000469858,0.0289325],"category_scores_gemma":[0.0002827413,0.0002479313,0.0002766676,0.0012446,0.000587096,0.001121563,0.0009899155,0.0005622923,0.01657589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009527634,"about_ca_system_score_gemma":0.0005534447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02253634,"about_ca_topic_score_gemma":0.04906353,"domain_scores_codex":[0.999749,0.00001698422,0.00002608811,0.00008240996,0.0000898543,0.00003568768],"domain_scores_gemma":[0.9998919,0.00001199204,0.00003908811,0.000005485696,0.00002971717,0.00002186293],"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":[0.0003611362,0.0001047257,0.0252207,0.0009520294,0.00007131856,0.003064153,0.001419677,0.0005414085,0.03902715,0.008429668,0.05593525,0.8648728],"study_design_scores_gemma":[0.00004466513,0.0002603125,0.1760301,0.0006218228,0.00007705529,0.006169581,0.001558148,0.000440634,0.005063294,0.00162389,0.8080689,0.00004160557],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1285696,0.05453982,0.009503103,0.001532263,0.002165259,0.000656504,0.01054551,0.001202063,0.7912859],"genre_scores_gemma":[0.6344293,0.01323798,0.011145,0.001811549,0.0006431261,0.00028846,0.01402793,0.00009904083,0.3243176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0289325,"threshold_uncertainty_score":0.09678882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04776013380972476,"score_gpt":0.2164847125864666,"score_spread":0.1687245787767419,"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."}}