{"id":"W3005921579","doi":"10.1016/j.forsciint.2020.110192","title":"Wing morphometrics for the identification of Nearctic and Palaearctic Piophilidae (Diptera) of forensic relevance","year":2020,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Universidad de Alcalá","keywords":"Morphometrics; Biology; Identification (biology); Wing; Evolutionary biology; Nearctic ecozone; Forensic identification; Relevance (law); Zoology; Ecology; Taxonomy (biology); Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005379953,0.0003541965,0.0001873673,0.002928476,0.0003638208,0.0003622304,0.0002739449,0.0002056908,0.003019053],"category_scores_gemma":[0.001200224,0.0001362614,0.0002407285,0.001419849,0.000214062,0.0004040789,0.0003959883,0.000302754,0.0007536038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000216134,"about_ca_system_score_gemma":0.0001869007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002494895,"about_ca_topic_score_gemma":0.00874343,"domain_scores_codex":[0.9997638,0.00005831074,0.00001584199,0.00006136873,0.00007927031,0.00002138553],"domain_scores_gemma":[0.9991158,0.0001190648,0.0003784575,0.00006136341,0.0002334695,0.00009180614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004031909,0.00006584953,0.8485969,0.0001094462,0.00008514697,0.0001665972,0.0003349723,0.0006048821,0.03144978,0.000355986,0.0006516785,0.1171756],"study_design_scores_gemma":[0.000004952493,0.00009898405,0.9957848,0.0000186309,0.00001789721,0.0006317422,0.0002671514,0.0009852024,0.001186615,0.00007888597,0.0009180595,0.000006940353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897543,0.0005978284,0.003081953,0.0000542388,0.0000231947,0.00003912838,0.0008100819,0.00005645906,0.00558277],"genre_scores_gemma":[0.9922806,0.0002770658,0.005879583,0.00001479556,0.00001490559,0.00002170942,0.0005363695,0.00001595579,0.0009589244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003019053,"threshold_uncertainty_score":0.01009977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03574257849827718,"score_gpt":0.2666271526956264,"score_spread":0.2308845741973492,"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."}}