{"id":"W863056512","doi":"10.1007/s00226-015-0751-7","title":"Distribution of the equilibrium moisture content in four hardwoods below fiber saturation point with magnetic resonance microimaging","year":2015,"lang":"en","type":"article","venue":"Wood Science and Technology","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université Laval","funders":"","keywords":"Equilibrium moisture content; Robinia; Water content; Eucalyptus; Hardwood; Bound water; Saturation (graph theory); Relative humidity; Desorption; Moisture; Softwood; Chemistry; Botany; Analytical Chemistry (journal); Materials science; Composite material; Sorption; Chromatography; Biology; Geology; Adsorption","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":[0.0001347187,0.00007068913,0.00008536456,0.00007298438,0.00003823759,0.00002010855,0.000140496,0.0000442563,0.00000108238],"category_scores_gemma":[0.00003993233,0.00004245702,0.000007002339,0.0005870633,0.0004006036,0.0001280496,0.00005368019,0.00009410136,0.000001573468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006059483,"about_ca_system_score_gemma":0.0000446242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003516428,"about_ca_topic_score_gemma":0.00006614707,"domain_scores_codex":[0.9994972,0.00000671437,0.00009098859,0.0001230652,0.0001256889,0.0001563909],"domain_scores_gemma":[0.9997193,0.000005078909,0.00001883737,0.0001502789,0.00008698369,0.00001949049],"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":[0.0001321891,0.0001181508,0.2294257,0.0001189067,0.0000284846,0.00003542373,0.002433188,0.0006023561,0.5688103,0.005655616,0.002373139,0.1902665],"study_design_scores_gemma":[0.002636174,0.0008611556,0.255103,0.0003521896,0.00004165068,0.0001959728,0.0017231,0.007521389,0.7177779,0.003294055,0.01001718,0.0004762613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940056,0.003283166,0.00001241186,0.001988123,0.00005424614,0.0001344596,0.000003942583,0.00005628019,0.0004617441],"genre_scores_gemma":[0.999611,0.0000159838,0.0002273073,0.00001223644,0.000005129285,0.00001227366,0.000001070787,0.000003907351,0.0001111434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1897902,"threshold_uncertainty_score":0.1731347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635818969385601,"score_gpt":0.1940299026188495,"score_spread":0.1776717129249935,"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."}}