{"id":"W3153905235","doi":"10.1016/j.forsciint.2021.110781","title":"Detecting volatile organic compounds to locate human remains in a simulated collapsed building","year":2021,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"University of Technology Sydney","keywords":"Decomposition; Environmental science; Chemical process of decomposition; Human health; Process (computing); Human life; Poison control; Computer science; Forensic engineering; Environmental health; Engineering; Ecology; Medicine; Biology; Law","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":[0.0001750543,0.0003754892,0.0002567143,0.0005210765,0.0005311473,0.0003638519,0.0007928598,0.0009226771,0.001249833],"category_scores_gemma":[0.0006150966,0.00019141,0.0002648404,0.0002527447,0.0003605868,0.0002456363,0.0007389438,0.0003304909,0.0002569312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002267463,"about_ca_system_score_gemma":0.0005957281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00565316,"about_ca_topic_score_gemma":0.01167889,"domain_scores_codex":[0.9998751,0.00002423376,0.000003799687,0.00002251993,0.00004210953,0.00003227831],"domain_scores_gemma":[0.9998234,0.00004626873,0.00002353958,0.00001779174,0.00003064509,0.0000584421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004320321,0.001194512,0.2845812,0.0002816699,0.0003603951,0.01247444,0.003174467,0.1201258,0.5136195,0.0007900126,0.001750134,0.05732757],"study_design_scores_gemma":[0.000177469,0.004411392,0.373809,0.0000957264,0.0003687157,0.002701519,0.005929014,0.4917045,0.116094,0.001462693,0.003119951,0.0001260948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968265,0.00001388009,0.002500034,0.000033267,0.000007275733,0.00002070451,0.000119301,0.00005674266,0.0004223294],"genre_scores_gemma":[0.997003,0.00001545437,0.002556766,0.000009443137,0.000001633721,0.000006823681,0.00009329068,0.000005413153,0.0003081405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00565316,"threshold_uncertainty_score":0.01124054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0288141506073331,"score_gpt":0.2834084986767849,"score_spread":0.2545943480694517,"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."}}