{"id":"W2131912881","doi":"10.1016/j.forsciint.2013.04.029","title":"Identification of methylhexaneamine by GC high-resolution TOFMS and soft ionization","year":2013,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Derivatization; Chemistry; Electron ionization; Mass spectrometry; Chromatography; Gas chromatography; Trifluoroacetic anhydride; Mass spectrum; Chemical ionization; Gas chromatography–mass spectrometry; Time-of-flight mass spectrometry; Resolution (logic); Ionization; Analytical Chemistry (journal); Ion; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002376178,0.0000569686,0.00005491019,0.00008362788,0.00006141291,0.00004732568,0.0001563689,0.00004057299,0.00004020378],"category_scores_gemma":[0.0001814838,0.00005382707,0.00001738979,0.0001333508,0.0002795391,0.00004065716,0.00006134199,0.00002318946,0.000006480602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001165287,"about_ca_system_score_gemma":0.00002164809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007820794,"about_ca_topic_score_gemma":0.000004991015,"domain_scores_codex":[0.9992384,0.00001338012,0.000182904,0.0002185143,0.0002531192,0.00009371239],"domain_scores_gemma":[0.9993733,0.000006649896,0.0001112134,0.0001192978,0.0003525221,0.00003705817],"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":[0.000009286706,0.00002454486,0.0007545369,0.000003218619,0.000004746823,2.897349e-8,0.00002286001,0.00001698803,0.9798489,0.0008583254,0.003864661,0.01459192],"study_design_scores_gemma":[0.000350167,0.00007000099,0.0503809,0.000007635085,0.000006475699,0.000006487904,0.0000343997,0.005641793,0.9384848,0.002260078,0.002665834,0.00009137507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765776,0.000141656,0.02207278,0.0003650647,0.0005626408,0.0001158197,0.00003004671,0.000005848581,0.0001285668],"genre_scores_gemma":[0.9978687,0.00007735283,0.001266384,0.00006259965,0.0001917714,0.00001558844,0.0002427469,0.000004030408,0.0002708927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04962636,"threshold_uncertainty_score":0.2195004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005608740702463665,"score_gpt":0.2354316142233655,"score_spread":0.2298228735209019,"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."}}