{"id":"W2324102376","doi":"10.1021/ac1023028","title":"Expanding the Library of Secondary Ions That Distinguish Lignin and Polysaccharides in Time-of-Flight Secondary Ion Mass Spectrometry Analysis of Wood","year":2010,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Lignin; Chemistry; Mass spectrometry; Middle lamella; Cellulose; Polysaccharide; Mass spectrum; Secondary ion mass spectrometry; Analytical Chemistry (journal); Ion; Chromatography; Organic chemistry","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":[0.0004658221,0.0006051746,0.0004126488,0.001529132,0.000466707,0.0005011561,0.0002679663,0.0002907554,0.002132545],"category_scores_gemma":[0.0006202334,0.0002153067,0.0004277191,0.0009666613,0.0002518837,0.0005203717,0.0004061319,0.0004241505,0.0007993524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001336247,"about_ca_system_score_gemma":0.0003416624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004221073,"about_ca_topic_score_gemma":0.0009956937,"domain_scores_codex":[0.9998026,0.00002707096,0.000012131,0.00004268562,0.00007861921,0.00003681569],"domain_scores_gemma":[0.9996718,0.00009457654,0.00004081527,0.00002320416,0.0001127106,0.00005698108],"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":[0.000218817,0.00006911947,0.00174397,0.00007925736,0.00001914034,0.0001518256,0.00005490583,0.0001428548,0.9732066,0.0001272697,0.0001386291,0.02404764],"study_design_scores_gemma":[0.00004030552,0.0006920133,0.0691692,0.00003987296,0.0001257569,0.002480573,0.0001344921,0.003202731,0.9143655,0.0006460508,0.009056777,0.00004669257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9173161,0.002564071,0.07170993,0.0001867383,0.00005218819,0.0002072501,0.002856679,0.0005962844,0.004510718],"genre_scores_gemma":[0.8228446,0.002993847,0.1603639,0.0004128546,0.00008998375,0.0002332474,0.00761027,0.0002041946,0.005247139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002132545,"threshold_uncertainty_score":0.00713402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501369255233148,"score_gpt":0.2259123574883282,"score_spread":0.2108986649359968,"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."}}