{"id":"W4379230069","doi":"10.1089/forensic.2023.0009","title":"Environmental DNA: Forensic Friend or Foe?","year":2023,"lang":"en","type":"article","venue":"Forensic Genomics","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Forensic science; Forensic entomology; Library science; History; Archaeology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001670635,0.0003161964,0.0002621234,0.00006395012,0.0004577045,0.0000311065,0.0003951379,0.0001189296,0.0030467],"category_scores_gemma":[0.00002350144,0.0002854518,0.0001359723,0.0002792271,0.0008340548,0.000189856,0.0013205,0.0001585713,0.02336469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006749308,"about_ca_system_score_gemma":0.000004782459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006468298,"about_ca_topic_score_gemma":0.0001198477,"domain_scores_codex":[0.9979668,0.00002957978,0.0002720132,0.000612082,0.000433628,0.0006858511],"domain_scores_gemma":[0.9991708,0.00006959117,0.0001018055,0.0004792785,0.000001356081,0.0001771592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002179241,0.0002365669,0.5461979,0.00002627821,0.0002081396,0.000372192,0.005172673,0.002242387,0.03763799,0.0001325878,0.3552668,0.05228852],"study_design_scores_gemma":[0.001015394,0.0002913836,0.7973504,0.000008926412,0.00008323295,0.00004673362,0.003468295,0.0005755496,0.01273851,0.001262484,0.182367,0.0007920866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934461,0.00003163704,0.00002670945,0.0002988714,0.0004802495,0.0003635661,0.0001776429,0.0001793024,0.004995997],"genre_scores_gemma":[0.9872232,0.0003499016,0.005451055,0.0004857706,0.0001121977,0.00002753782,0.0001281286,0.00005419521,0.006168011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2511525,"threshold_uncertainty_score":0.9999598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692043007239475,"score_gpt":0.1990228755284083,"score_spread":0.1821024454560136,"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."}}