{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001342471,0.0006925707,0.0002580537,0.000998852,0.001147784,0.0002571623,0.0004088315,0.0003777367,0.007559312],"category_scores_gemma":[0.0001576179,0.0001548069,0.0001712941,0.0004886742,0.0003181363,0.0007515462,0.0008327466,0.0003846436,0.003752072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004029153,"about_ca_system_score_gemma":0.0001766813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003196096,"about_ca_topic_score_gemma":0.01070463,"domain_scores_codex":[0.9998937,0.00001510702,0.00001002213,0.00004293522,0.00001980077,0.00001843529],"domain_scores_gemma":[0.9999012,0.00001413071,0.00003258293,0.00001026847,0.0000290864,0.0000128489],"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":[0.0007061443,0.0003436525,0.05805262,0.0009653947,0.0001263945,0.003775312,0.001822527,0.001822755,0.2317743,0.004531423,0.01439282,0.6816866],"study_design_scores_gemma":[0.0001591582,0.0008261409,0.4362153,0.0006749482,0.0002182841,0.009445457,0.002528073,0.001324954,0.02162863,0.00198185,0.5249422,0.00005500401],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7239221,0.009558219,0.006693977,0.0006373798,0.0003787719,0.0002295053,0.003176927,0.0008334056,0.2545697],"genre_scores_gemma":[0.9482006,0.00170547,0.003077743,0.0006527076,0.00009303271,0.00008908461,0.001548433,0.00003082869,0.04460222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007559312,"threshold_uncertainty_score":0.0252884,"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."}}