{"id":"W6893741688","doi":"10.5281/zenodo.5186048","title":"Hydrosmecta pseudodiosica Lohse","year":2017,"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":"Dorsum; Aedeagus; Sternum; Cadaver; Spermatheca; Lobe","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":[0.00005743632,0.0004838938,0.0001936182,0.001024472,0.0007998919,0.0002320669,0.0002888616,0.0003395482,0.01311188],"category_scores_gemma":[0.0002205925,0.0001744412,0.0001373345,0.0004702864,0.0004687037,0.0007139692,0.0008898281,0.0003800606,0.002834965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003275446,"about_ca_system_score_gemma":0.0003013826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00325742,"about_ca_topic_score_gemma":0.004692707,"domain_scores_codex":[0.9999228,0.000005846182,0.000007464214,0.00002982444,0.00002292606,0.00001112467],"domain_scores_gemma":[0.9999025,0.0000150811,0.00003104757,0.000009555189,0.00002609588,0.00001572352],"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":[0.0008784697,0.0001532304,0.04119543,0.001591035,0.00008405634,0.01283186,0.001845193,0.001264531,0.1277655,0.00566122,0.03677847,0.769951],"study_design_scores_gemma":[0.0002723637,0.0005636429,0.3345764,0.0003596762,0.00008495124,0.02736292,0.001881697,0.001291478,0.008981557,0.002445089,0.6221156,0.00006473754],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6988164,0.008662499,0.007183635,0.0008430519,0.001069983,0.0007955946,0.005071914,0.0009705402,0.2765864],"genre_scores_gemma":[0.9753525,0.001563894,0.003148929,0.0004040607,0.000210773,0.0001436607,0.002009492,0.00002660321,0.01714008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01311188,"threshold_uncertainty_score":0.04386365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04420673471106982,"score_gpt":0.2446189727257578,"score_spread":0.200412238014688,"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."}}