{"id":"W6894051818","doi":"10.5281/zenodo.6315865","title":"Exorista (Eorista) larvarum","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Beijing; Zhàng; Musca","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004298769,0.00008586188,0.00009586156,0.00001870683,0.001244736,0.0002305803,0.0004460884,0.00005034262,0.004494614],"category_scores_gemma":[0.0003637186,0.00004129731,0.00003426489,0.0002850573,0.0001504054,0.0001191408,0.0005828307,0.000120274,0.005743338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004350944,"about_ca_system_score_gemma":7.378164e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003584276,"about_ca_topic_score_gemma":0.000003198614,"domain_scores_codex":[0.999029,0.0001581793,0.0001219878,0.0002346493,0.0002013582,0.0002547927],"domain_scores_gemma":[0.9993817,0.00002255033,0.00004440095,0.00008374216,0.0003146594,0.0001530105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009081006,0.0001277038,0.0001065491,0.000007940139,0.00003088691,0.00002460145,0.0007491006,0.000004117331,0.004293518,0.01013745,0.739314,0.2451133],"study_design_scores_gemma":[0.0001649073,0.000275302,0.003366265,0.000004912339,0.000005035038,0.00004557506,0.0005470067,0.00001305098,0.0002196168,0.0008206339,0.9944379,0.00009983842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5710558,0.0003107415,0.0001086921,0.004828632,0.0003534428,0.0003103188,0.0002348812,0.001172571,0.421625],"genre_scores_gemma":[0.9970383,0.00002669823,0.00006179589,0.0002474403,0.0002336162,2.033177e-8,0.0008396371,0.00003312591,0.00151938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4259825,"threshold_uncertainty_score":0.9964154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06106719827531471,"score_gpt":0.2389401232497276,"score_spread":0.1778729249744129,"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."}}