{"id":"W2343190347","doi":"10.1515/hf-2014-0334","title":"Wood microfibril angle variation after drying","year":2015,"lang":"en","type":"article","venue":"Holzforschung","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Microfibril; Cellulose; Cell wall; Materials science; Wood drying; Industrial chemistry; Hemicellulose; Water content; Softwood; Composite material; Moisture; Desorption; Deformation (meteorology); Lignin; Secondary cell wall; Chemistry; Botany; Adsorption; Biology; Geology","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":[0.00007436916,0.0001122419,0.00009609764,0.00005107133,0.0000263672,0.00004744183,0.00005270685,0.00005488521,0.00004899316],"category_scores_gemma":[0.000008033117,0.00009946943,0.00003536936,0.00009471353,0.000009033008,0.0002529978,0.00001827925,0.00005719898,0.0003519411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000577947,"about_ca_system_score_gemma":0.00001120817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002092692,"about_ca_topic_score_gemma":0.000008167908,"domain_scores_codex":[0.9994988,0.0000114001,0.0001093431,0.00009636824,0.0000984895,0.0001856014],"domain_scores_gemma":[0.9997458,0.000008698147,0.0000116882,0.0001349295,0.0000250511,0.00007383181],"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":[0.001097011,0.0005929947,0.2211021,0.001242993,0.002444479,0.000620312,0.09477113,0.03543358,0.328766,0.00357469,0.1235814,0.1867733],"study_design_scores_gemma":[0.009635555,0.0008449735,0.1941398,0.0005186127,0.0005707195,0.0001618351,0.001909991,0.04188959,0.4769536,0.005930601,0.2634863,0.003958474],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762026,0.003989168,0.0007641259,0.00005193159,0.0004912079,0.0001115691,0.000005366923,0.0003913447,0.01799271],"genre_scores_gemma":[0.9974936,0.0000227913,0.001441465,0.00003087005,0.0001780288,0.00002947036,0.00001210309,0.000029075,0.0007626325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1828148,"threshold_uncertainty_score":0.4523609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0180367677872646,"score_gpt":0.1907851578958316,"score_spread":0.172748390108567,"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."}}