{"id":"W4385852252","doi":"10.22382/wfs-2023-04","title":"DISTINGUISHING NATIVE AND PLANTATION-GROWN MAHOGANY (SWIETENIA MACROPHYLLA) TIMBER USING CHROMATOGRAPHY AND HIGH-RESOLUTION QUADRUPOLE TIME-OF-FLIGHT MASS SPECTROMETRY","year":2023,"lang":"en","type":"article","venue":"Wood and Fiber Science","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of British Columbia","funders":"Environment and Climate Change Canada; FPInnovations; Agilent Technologies","keywords":"Swietenia macrophylla; Hardwood; High resolution; Chemistry; Mass spectrometry; Botany; Horticulture; Environmental science; Chromatography; Biology; Geography; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003911084,0.0001589724,0.0002054098,0.0003090098,0.0005197401,0.0002240386,0.0001859322,0.00007333069,0.00007827183],"category_scores_gemma":[0.0001004092,0.0001392351,0.00003016592,0.001204482,0.0007856808,0.0002409442,0.0002236206,0.000171365,0.000009609008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002454098,"about_ca_system_score_gemma":0.00006830297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001413268,"about_ca_topic_score_gemma":0.000004777476,"domain_scores_codex":[0.9983733,0.00002040271,0.0002012015,0.0004881767,0.0004842799,0.0004326332],"domain_scores_gemma":[0.9993303,0.0001475108,0.0001018078,0.0001644619,0.00008629286,0.0001695624],"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":[0.0000192948,0.0000210459,0.004046133,0.0001835538,0.00002627253,0.00002535129,0.0009976178,0.00001560883,0.9931024,0.0003132455,0.00007342855,0.001176075],"study_design_scores_gemma":[0.001961187,0.0002257579,0.05840655,0.0007634946,0.00009180271,0.0001889056,0.002280817,0.06884027,0.861518,0.004206119,0.0004290218,0.001088105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954748,0.000333608,0.00006696318,0.0001049284,0.00004841439,0.00006573783,0.0000604684,0.00006118661,0.0037839],"genre_scores_gemma":[0.9955674,0.00007570672,0.003660201,0.0000104799,0.00007036891,0.000003302851,0.00001192878,0.00001356933,0.0005870007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1315844,"threshold_uncertainty_score":0.5677844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307625205126823,"score_gpt":0.2595521965439819,"score_spread":0.2464759444927137,"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."}}