{"id":"W2122576893","doi":"10.1016/j.biortech.2005.06.005","title":"A theoretical expression for drying time of thin lumber","year":2005,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Water content; Moisture; Wood drying; Slab; Mass transfer; Mathematics; Function (biology); Boundary value problem; Diffusion; Mechanics; Thermodynamics; Materials science; Mathematical analysis; Geotechnical engineering; Composite material; Physics; Engineering; Structural engineering","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":[0.00005149612,0.00009501369,0.000140761,0.0001150583,0.00002970926,0.000004559649,0.0001272519,0.0001814519,0.0001802015],"category_scores_gemma":[0.00002461403,0.00007390571,0.00004392839,0.00009222284,0.0001546798,0.00002509144,0.00003505003,0.00007045159,0.00005986728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001719622,"about_ca_system_score_gemma":0.000003083474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.458285e-7,"about_ca_topic_score_gemma":5.338392e-7,"domain_scores_codex":[0.9995444,0.000006008352,0.0001322388,0.00009777984,0.00004836519,0.0001712286],"domain_scores_gemma":[0.9997385,0.00003404628,0.00001774728,0.0001761599,0.00001458177,0.00001893301],"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":[0.00009833467,0.0001237973,0.002718695,0.0001220611,0.0001181291,0.000003349763,0.001239468,0.0009274757,0.8720629,0.06246602,0.006740916,0.05337885],"study_design_scores_gemma":[0.0004843609,0.0001054564,0.00005816705,0.0000527779,0.0000223784,0.000005756344,0.00008472027,0.01624447,0.9566339,0.003689475,0.02247387,0.0001446662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915844,0.001411915,0.0006067877,0.000567266,0.0000285068,0.0002027357,0.000008366938,0.0008135049,0.004776474],"genre_scores_gemma":[0.9936854,0.000008158801,0.005989862,0.00001310926,0.00004418431,0.00004396753,0.000003437139,0.00002338224,0.0001884721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.084571,"threshold_uncertainty_score":0.3013788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004869171343963473,"score_gpt":0.1927537765289081,"score_spread":0.1878846051849447,"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."}}