{"id":"W2589442859","doi":"10.1515/hf-2016-0145","title":"Characterizing spatial distribution of the adsorbed water in wood cell wall of <i>Ginkgo biloba</i> L. by μ-FTIR and confocal Raman spectroscopy","year":2017,"lang":"en","type":"article","venue":"Holzforschung","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Fourier transform infrared spectroscopy; Confocal; Raman spectroscopy; Adsorption; Analytical Chemistry (journal); Spectroscopy; Chemistry; Infrared spectroscopy; Materials science; Chemical engineering; Chromatography; Optics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000886911,0.0001341174,0.0002047744,0.00001987196,0.00007428879,0.00003748294,0.0001639068,0.00006977713,0.00001539428],"category_scores_gemma":[0.000007057044,0.00008367521,0.00004618206,0.00002195989,0.00009086211,0.0001577748,0.00006423589,0.0001129325,0.000003570205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000270323,"about_ca_system_score_gemma":0.000006385321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003152836,"about_ca_topic_score_gemma":0.00007656813,"domain_scores_codex":[0.9993508,0.00001812062,0.000210402,0.0001115408,0.0001005352,0.0002085286],"domain_scores_gemma":[0.9996079,0.0000108026,0.00006421535,0.0002714695,0.00001498316,0.00003065119],"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":[0.00004506238,0.00003806644,0.02164751,0.0001126742,0.00002236425,0.000001349161,0.0005314179,0.00001629625,0.9768537,0.00002689874,0.0001401163,0.0005645437],"study_design_scores_gemma":[0.0007228558,0.00005925144,0.05770091,0.00006223614,0.00002062502,0.00000102254,0.00002216058,0.0007680748,0.9398804,0.00003527195,0.0006251843,0.0001019878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983264,0.0002621464,0.00004247232,0.0001555972,0.0001481183,0.000180932,0.00006985996,0.00002296159,0.0007915318],"genre_scores_gemma":[0.9996854,0.00009967662,0.00002968628,0.00000875313,0.00002745632,0.000008742888,0.00006253166,0.00001556654,0.00006217735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03697328,"threshold_uncertainty_score":0.3412176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005786402932828164,"score_gpt":0.1841249948000574,"score_spread":0.1783385918672293,"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."}}