{"id":"W4296492642","doi":"10.1089/forensic.2022.29013.editorial","title":"<i>Forensic Genomics</i> : A New Era","year":2022,"lang":"en","type":"article","venue":"Forensic Genomics","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Genomics; Forensic science; Identification (biology); Forensic identification; Forensic entomology; Library science; Data science; Computer science; Biology; History; Genome; Archaeology; Genetics; Gene","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":[0.01921672,0.001202174,0.001673023,0.004753812,0.003291989,0.01366952,0.00399177,0.01572764,0.02042184],"category_scores_gemma":[0.02370192,0.0006021802,0.0008767663,0.00342444,0.01839237,0.01776855,0.005884446,0.01035828,0.007975396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003265613,"about_ca_system_score_gemma":0.005680138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003555282,"about_ca_topic_score_gemma":0.00623553,"domain_scores_codex":[0.9918402,0.00315455,0.0006801625,0.0009807693,0.002831012,0.0005131461],"domain_scores_gemma":[0.9519117,0.02548089,0.00267506,0.004268324,0.01122499,0.004438975],"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":[0.00003715896,0.00003130226,0.0006797994,0.00100953,0.00002525644,0.0003232374,0.0004610853,0.00009908601,0.00138474,0.07854421,0.73029,0.1871146],"study_design_scores_gemma":[0.000006839278,0.00003175773,0.0005200911,0.001285256,0.00001668975,0.001430894,0.0007435498,0.0002019864,0.0008223415,0.07684343,0.91804,0.00005721402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0008388381,0.1800369,0.02648174,0.6588278,0.07924078,0.00007317651,0.0005132626,0.001098335,0.05288917],"genre_scores_gemma":[0.02458844,0.1374459,0.04107686,0.5818217,0.1766196,0.0001722526,0.0005718876,0.0009258016,0.03677752],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02042184,"threshold_uncertainty_score":0.1016289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132204225087808,"score_gpt":0.1784099106507154,"score_spread":0.1670878683998374,"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."}}