{"id":"W4210368235","doi":"10.1016/bs.coac.2021.11.007","title":"Use of GC×GC for the characterization of odours in forensic applications","year":2022,"lang":"en","type":"book-chapter","venue":"Comprehensive analytical chemistry","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Royal University","funders":"","keywords":"Chromatography; Forensic science; Chemistry; Geography; Archaeology","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":[0.0003768766,0.001124552,0.0004137681,0.001358782,0.0005303088,0.000827536,0.001026924,0.001176517,0.004833165],"category_scores_gemma":[0.0003012352,0.0004877523,0.0004903801,0.001027957,0.0005549872,0.0009848817,0.0006608287,0.00131939,0.006476063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004753071,"about_ca_system_score_gemma":0.000693312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001583427,"about_ca_topic_score_gemma":0.005700037,"domain_scores_codex":[0.9995645,0.00003593201,0.00001327553,0.0001385631,0.0002235891,0.00002430183],"domain_scores_gemma":[0.9998281,0.00006553131,0.00001514697,0.00002147907,0.00005851025,0.00001118731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003341122,0.00005847072,0.000270652,0.0004818111,0.00002583181,0.0002223502,0.00009179123,0.0005883952,0.7893891,0.003131506,0.004167706,0.2015388],"study_design_scores_gemma":[0.000003891924,0.0001185756,0.000886242,0.0001544999,0.0000341237,0.001075344,0.00006371334,0.002202282,0.8621519,0.00275667,0.1305097,0.00004304307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04862128,0.1115225,0.6276078,0.001480965,0.002234313,0.000684545,0.001819535,0.004026897,0.2020022],"genre_scores_gemma":[0.1371981,0.07399607,0.4699777,0.003289141,0.0004714147,0.0004856295,0.001729032,0.001120504,0.3117324],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004833165,"threshold_uncertainty_score":0.01616853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0434723075492088,"score_gpt":0.2473793724691984,"score_spread":0.2039070649199896,"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."}}