{"id":"W4281618286","doi":"10.1089/forensic.2022.0007","title":"Microbial Forensics: A Present to Future Perspective on Genomic Targets, Bioinformatic Challenges, and Applications","year":2022,"lang":"en","type":"article","venue":"Forensic Genomics","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada","funders":"","keywords":"Microbiome; Metagenomics; Human microbiome; Human Microbiome Project; Computational biology; Biology; Identification (biology); Human health; Data science; Evolutionary biology; Computer science; Bioinformatics; Genetics; Ecology; Medicine; 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":[0.02346856,0.001505842,0.001743673,0.004065671,0.001953547,0.009450692,0.002950507,0.009590008,0.01165464],"category_scores_gemma":[0.01974144,0.000704412,0.001157049,0.002389614,0.00817189,0.01530873,0.00511199,0.007406613,0.003712108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003298007,"about_ca_system_score_gemma":0.006137621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001995314,"about_ca_topic_score_gemma":0.002524937,"domain_scores_codex":[0.9957112,0.001888954,0.0002500323,0.0005746332,0.001241585,0.0003336351],"domain_scores_gemma":[0.9701559,0.01915652,0.001151463,0.00135831,0.005701522,0.002476396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001974502,0.0001444097,0.002775459,0.004080324,0.00008996916,0.0005602299,0.0006391391,0.001896162,0.00425575,0.08507369,0.1030169,0.7972705],"study_design_scores_gemma":[0.00002732831,0.0002261686,0.002201355,0.00715825,0.00008138111,0.002731138,0.002790598,0.002866174,0.002219601,0.294654,0.6848842,0.0001597611],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001727956,0.7089224,0.03369086,0.2427873,0.005165073,0.00006915774,0.0002903359,0.000453168,0.006893673],"genre_scores_gemma":[0.02382372,0.8415428,0.07617348,0.03885934,0.01382065,0.0001702734,0.0005938135,0.0001792101,0.004836822],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02346856,"threshold_uncertainty_score":0.124115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033972442267826,"score_gpt":0.2440643622485393,"score_spread":0.2337246378258611,"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."}}