{"id":"W6969091796","doi":"10.5281/zenodo.6715183","title":"Micronycteris megalotis","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":"Subspecies; Subgenus; Taxonomy (biology); Nomenclature","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":[0.00005351409,0.0003895519,0.0001680091,0.0008778487,0.0007422598,0.0002631708,0.0002681823,0.0002931749,0.007248506],"category_scores_gemma":[0.0001404752,0.0001406251,0.000159272,0.0004520419,0.0002485827,0.0003931368,0.0005019804,0.0002735362,0.003456855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005321096,"about_ca_system_score_gemma":0.0002744068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01360878,"about_ca_topic_score_gemma":0.04892834,"domain_scores_codex":[0.9999064,0.000006285024,0.00001458911,0.00003223078,0.00002434571,0.00001624407],"domain_scores_gemma":[0.9998927,0.000007858548,0.00005147271,0.000008823628,0.00002531579,0.00001388917],"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":[0.0005749302,0.0001529953,0.1174759,0.001545445,0.00008263097,0.005951702,0.002689782,0.0004630112,0.1365472,0.003710183,0.02292847,0.7078778],"study_design_scores_gemma":[0.00003458821,0.0003028438,0.7254916,0.0006311281,0.00008550482,0.01743527,0.001544504,0.0004403462,0.01387975,0.0006976833,0.2394231,0.00003377264],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6485988,0.02787034,0.005217187,0.001449763,0.0008798102,0.0004698281,0.01008051,0.0009297514,0.304504],"genre_scores_gemma":[0.9619009,0.002817198,0.004358166,0.0003863638,0.00004985889,0.00006725147,0.002580366,0.00001939726,0.02782048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01360878,"threshold_uncertainty_score":0.02705914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471527228894546,"score_gpt":0.2031532361390047,"score_spread":0.1784379638500593,"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."}}