{"id":"W6931756274","doi":"10.5281/zenodo.6403575","title":"Rhogeessa minutilla G. S. Miller 1897","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rostrum; Skull; Population; Dorsum","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":[0.0001054643,0.0007137199,0.0003192146,0.001210415,0.001278271,0.0003212099,0.0005925578,0.0004305831,0.01517697],"category_scores_gemma":[0.0002258259,0.0002814783,0.0001332872,0.0006298909,0.0005262914,0.0006553581,0.000847769,0.0003485401,0.004865665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005952972,"about_ca_system_score_gemma":0.0003358451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02895753,"about_ca_topic_score_gemma":0.09979317,"domain_scores_codex":[0.9999154,0.000009279069,0.000006125906,0.00003000627,0.000024875,0.00001438249],"domain_scores_gemma":[0.999905,0.00001209948,0.00004824878,0.000006212888,0.00001768421,0.00001079709],"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":[0.0004692841,0.0002184027,0.04635522,0.0008597485,0.00008190188,0.002919694,0.004721045,0.0005420536,0.04537812,0.006222325,0.06843173,0.8238005],"study_design_scores_gemma":[0.00007982711,0.0002816377,0.4597167,0.000668953,0.0000764955,0.005406428,0.003053313,0.0003398239,0.001324641,0.0009973455,0.5280232,0.00003161931],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5135927,0.03009437,0.003216179,0.001751732,0.0007327077,0.001261789,0.005586493,0.0007780292,0.442986],"genre_scores_gemma":[0.9264181,0.006679955,0.005646321,0.0007232673,0.0002511962,0.0003923286,0.002496468,0.00005350836,0.05733882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02895753,"threshold_uncertainty_score":0.05757791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03763061175578816,"score_gpt":0.2133767085603603,"score_spread":0.1757460968045722,"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."}}