{"id":"W6931343020","doi":"10.5281/zenodo.5325787","title":"Theognete schaubeli Anderson 2010, new species","year":2010,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aedeagus; Holotype; Dorsum; Litter; Plant litter","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007884656,0.0001389561,0.0001302261,0.0001690905,0.001275288,0.001354858,0.001933202,0.00008053065,0.006279684],"category_scores_gemma":[0.0002975555,0.0001301556,0.00005534215,0.0004575269,0.0001126057,0.0005268189,0.001185863,0.0004222073,0.004173346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002490659,"about_ca_system_score_gemma":0.000007545757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001490005,"about_ca_topic_score_gemma":6.11261e-7,"domain_scores_codex":[0.9984881,0.0002085999,0.0001738033,0.0004444188,0.0003183897,0.0003667078],"domain_scores_gemma":[0.9986091,0.00002574275,0.00007455084,0.0007781467,0.0002434231,0.000269011],"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":[0.000008225957,0.00003609222,9.901613e-7,0.00000973903,0.00001225296,0.000007721525,0.0009621573,0.000001700856,0.02365489,0.3042744,0.3032706,0.3677612],"study_design_scores_gemma":[0.000304509,0.00009896504,0.0003292064,0.000009292721,0.000004318556,0.00009870189,0.00002663371,0.001664973,0.002200349,0.0128435,0.9822405,0.0001790462],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009951168,0.00004824619,0.8212814,0.002550193,0.0004096653,0.0001742893,0.00001047176,0.0007247843,0.1738058],"genre_scores_gemma":[0.3203275,0.000257082,0.5920086,0.001906812,0.001828119,7.073884e-8,0.0003158939,0.002709525,0.08064641],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6789699,"threshold_uncertainty_score":0.9996818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0423276114352732,"score_gpt":0.2500941978408701,"score_spread":0.2077665864055969,"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."}}