{"id":"W6911404988","doi":"10.5281/zenodo.11328314","title":"Myotis nesopolus Miller 1900","year":2005,"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":"Miller; Subspecies; IUCN Red List; Action (physics)","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":[0.00008820849,0.0003581936,0.0001327503,0.0007149465,0.0006452014,0.0001530856,0.0002790736,0.0003070731,0.01055833],"category_scores_gemma":[0.0002086902,0.0001245955,0.00008317189,0.0003063581,0.000346728,0.0005689871,0.0006175987,0.000225304,0.004339989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003862895,"about_ca_system_score_gemma":0.0002137151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0101702,"about_ca_topic_score_gemma":0.03227889,"domain_scores_codex":[0.9999071,0.000006397832,0.000007323303,0.00002726098,0.00003819809,0.0000138107],"domain_scores_gemma":[0.999909,0.000007436352,0.00004545428,0.00000530904,0.00001734126,0.00001546439],"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":[0.000541439,0.0002027707,0.1876897,0.0006636014,0.00005465953,0.003786897,0.00199937,0.0003441094,0.0664374,0.005407559,0.0509401,0.6819325],"study_design_scores_gemma":[0.00002570996,0.0002530057,0.8049601,0.000229663,0.00004115758,0.009399876,0.0005715854,0.0002767424,0.002364589,0.0006579293,0.1812047,0.00001486304],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5291927,0.006517399,0.003521053,0.0008010403,0.0003098301,0.0003859014,0.00211151,0.0002968232,0.4568639],"genre_scores_gemma":[0.9390018,0.003057145,0.005059048,0.0004039718,0.0002420619,0.0001301785,0.001805598,0.00001794372,0.05028231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01055833,"threshold_uncertainty_score":0.03532118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03409029919166414,"score_gpt":0.2191633651003435,"score_spread":0.1850730659086794,"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."}}