{"id":"W6912651197","doi":"10.5281/zenodo.6209791","title":"Lucilia fayeae Whitworth, 2010, sp. nov.","year":2010,"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":"Pedicel; Seta; Scutellum; Black spot; Lucilia; Ovipositor","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":[0.0002521709,0.001317914,0.0003863099,0.001943081,0.001667886,0.0005644977,0.0007650728,0.0008869117,0.008358924],"category_scores_gemma":[0.0007497161,0.0003516506,0.0002688915,0.0009364184,0.0005822012,0.001809655,0.0006235609,0.0007413533,0.004715403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242101,"about_ca_system_score_gemma":0.0005363802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03416051,"about_ca_topic_score_gemma":0.05553009,"domain_scores_codex":[0.9998221,0.00001557294,0.00001688275,0.00006908959,0.00003579777,0.0000405546],"domain_scores_gemma":[0.9997551,0.00004741959,0.00007709683,0.00002845635,0.00006063936,0.00003132062],"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":[0.0005424575,0.0001623626,0.05929702,0.001351074,0.0001668991,0.002997748,0.001852631,0.002524307,0.02197995,0.001820981,0.05900991,0.8482948],"study_design_scores_gemma":[0.0001137708,0.0004082345,0.5603307,0.001304265,0.0003116417,0.01032027,0.001622849,0.001842559,0.004136109,0.0009331374,0.4185519,0.0001246126],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5266927,0.07567561,0.01946352,0.003243522,0.002723955,0.001986155,0.02080926,0.005344857,0.3440605],"genre_scores_gemma":[0.8854488,0.01018929,0.01931285,0.002275158,0.0005619836,0.0006848852,0.01157563,0.0001164118,0.06983496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03416051,"threshold_uncertainty_score":0.06792337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02844918954695461,"score_gpt":0.2214229158887767,"score_spread":0.1929737263418221,"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."}}