{"id":"W2746984042","doi":"10.1515/hf-2017-0115","title":"Erratum to: Water sorption hysteresis in wood: II mathematical modeling – functions beyond data fitting","year":2017,"lang":"en","type":"erratum","venue":"Holzforschung","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hysteresis; Sorption; Biological system; Polymer science; Thermodynamics; Materials science; Mathematics; Applied mathematics; Statistical physics; Chemistry; Physical chemistry; Physics; Biology","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":[0.002608493,0.002901036,0.002257047,0.003269442,0.00277878,0.002715197,0.003091891,0.004944872,0.03489722],"category_scores_gemma":[0.02806259,0.001192517,0.001636416,0.002850791,0.002007748,0.004152521,0.001889682,0.007288618,0.02914819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002618786,"about_ca_system_score_gemma":0.003288056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007170035,"about_ca_topic_score_gemma":0.007513396,"domain_scores_codex":[0.9967475,0.0003423064,0.0005711997,0.0003875797,0.001772233,0.0001791994],"domain_scores_gemma":[0.9860882,0.004043911,0.0005847766,0.001054331,0.007815007,0.000413684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006159717,0.00003304028,0.00007198624,0.0002484751,0.00001081151,0.0001973156,0.00002600228,0.0004198866,0.0003083479,0.002677641,0.9723822,0.02356265],"study_design_scores_gemma":[0.00002973601,0.0001048427,0.0006609657,0.000532167,0.00006069844,0.0007271324,0.0001316302,0.003216369,0.003368979,0.007974847,0.9830875,0.0001051309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00081422,0.004422179,0.01063519,0.03071598,0.9420093,0.00006336225,0.001454399,0.0007700302,0.009115302],"genre_scores_gemma":[0.02411655,0.02825723,0.0381305,0.06807225,0.2232906,0.0004391502,0.007763121,0.005326887,0.6046038],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03489722,"threshold_uncertainty_score":0.1167429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09242295165436754,"score_gpt":0.3279471819273861,"score_spread":0.2355242302730186,"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."}}