{"id":"W2999855058","doi":"10.3390/separations7010005","title":"Profiling Volatilomes: A Novel Forensic Method for Identification of Confiscated Illegal Wildlife Items","year":2020,"lang":"en","type":"article","venue":"Separations","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"United States Agency for International Development","keywords":"Wildlife; Profiling (computer programming); African elephant; Forensic identification; DNA profiling; Multiplex; Biology; Wildlife trade; Computer science; Ecology; Bioinformatics; DNA","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":[0.0004114982,0.0006887278,0.0002344604,0.001709442,0.0004593694,0.0004362429,0.0004736213,0.0009624276,0.0007617482],"category_scores_gemma":[0.000625243,0.0002852535,0.0002497482,0.000591835,0.0005185088,0.0007040369,0.0005749894,0.0007386872,0.0005040726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002381461,"about_ca_system_score_gemma":0.0005414005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007617765,"about_ca_topic_score_gemma":0.002936952,"domain_scores_codex":[0.9994167,0.00006971358,0.00001772081,0.0001829289,0.0002719658,0.00004089871],"domain_scores_gemma":[0.9997398,0.00005680807,0.00008311879,0.00001920113,0.00007781244,0.00002329443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005265712,0.00003829148,0.002804732,0.00009892314,0.00002685607,0.0001331691,0.00009388202,0.0001207533,0.9721644,0.0002436204,0.0001564183,0.02406641],"study_design_scores_gemma":[0.000008460226,0.0003966337,0.01410267,0.0000551085,0.00005704657,0.002940519,0.0001953865,0.006046216,0.9666137,0.0003752286,0.009133982,0.00007514695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.707309,0.01245109,0.2696494,0.000651272,0.0002255609,0.0002941623,0.001545141,0.001132338,0.006741948],"genre_scores_gemma":[0.7464786,0.007823557,0.2349882,0.0005331766,0.000102695,0.0002165402,0.0007087869,0.00009160185,0.009056913],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001709442,"threshold_uncertainty_score":0.002548277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04978772072514071,"score_gpt":0.3435458481638489,"score_spread":0.2937581274387082,"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."}}