{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001437869,0.0004928117,0.0001909038,0.0008920659,0.000302543,0.0003510272,0.0001534457,0.000288773,0.0004756292],"category_scores_gemma":[0.0002449828,0.00012491,0.0002249123,0.0003912814,0.0002234181,0.0003030231,0.0002286608,0.0002079699,0.0001527364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001430434,"about_ca_system_score_gemma":0.0002489414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004263007,"about_ca_topic_score_gemma":0.01860187,"domain_scores_codex":[0.9998857,0.000007260795,0.00001121502,0.00003886322,0.00003382141,0.00002315092],"domain_scores_gemma":[0.9998648,0.00002944408,0.00004150943,0.000008403768,0.00003404945,0.00002178471],"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":[0.0001313318,0.00003713796,0.03291314,0.000113203,0.00002983988,0.0002704795,0.0001816818,0.00006546777,0.9548936,0.00003451811,0.00004972325,0.01127988],"study_design_scores_gemma":[0.00001114066,0.0003140481,0.8128752,0.00002858749,0.0001066442,0.001268727,0.0006474204,0.001718831,0.1802629,0.00007946607,0.002644608,0.00004250702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964227,0.0006228627,0.001712442,0.00002281224,0.00000898602,0.0000265959,0.0004241679,0.0000269969,0.0007323395],"genre_scores_gemma":[0.9843017,0.0008572136,0.01215284,0.0001070517,0.00001166228,0.00004242449,0.001065487,0.00001430814,0.001447328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004263007,"threshold_uncertainty_score":0.008476377,"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."}}