{"id":"W6893796958","doi":"10.5281/zenodo.6059832","title":"Centistes (Ancylocentrus) ater","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Population; Predation; Range (aeronautics)","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":[0.0001526993,0.000707437,0.000219244,0.001957973,0.0007693153,0.0002885891,0.0003501668,0.0003978681,0.005424355],"category_scores_gemma":[0.0003994358,0.0001494115,0.0001739344,0.0006455441,0.0004959553,0.0005933532,0.0006308044,0.0002312097,0.001878039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004226712,"about_ca_system_score_gemma":0.0001770871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004008282,"about_ca_topic_score_gemma":0.007484558,"domain_scores_codex":[0.9998354,0.00002054163,0.0000149408,0.00006997823,0.00003885482,0.00002029999],"domain_scores_gemma":[0.9997324,0.00004618103,0.0001395222,0.00002632436,0.00003144693,0.00002404814],"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":[0.00251281,0.0001377001,0.1391512,0.001714363,0.0001606749,0.006590181,0.003022781,0.001100736,0.2753113,0.005803844,0.01113365,0.5533609],"study_design_scores_gemma":[0.00006755291,0.0003343093,0.8734015,0.0002880132,0.0001650509,0.01058566,0.0008540742,0.0004565853,0.007904057,0.00063586,0.1052663,0.00004103242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8513128,0.00951058,0.003127479,0.0002198123,0.0002425855,0.0001385419,0.002633615,0.0004244753,0.1323902],"genre_scores_gemma":[0.9912315,0.0007862233,0.0009969556,0.00008462327,0.00005751554,0.00003302326,0.000613523,0.00001455489,0.006182062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005424355,"threshold_uncertainty_score":0.01814628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941678903560152,"score_gpt":0.2222389627037779,"score_spread":0.2028221736681764,"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."}}