{"id":"W2006429762","doi":"10.1179/2042645313y.0000000052","title":"Drying schedule structure and subsequent post-drying equalisation effect on hemlock timber quality","year":2013,"lang":"en","type":"article","venue":"International Wood Products Journal","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations; CRB Innovations (Canada); University of British Columbia","funders":"","keywords":"Tsuga; Western Hemlock; Wood drying; Schedule; Environmental science; Conditioning; Water content; Moisture; Pulp and paper industry; Vacuum drying; Kiln; Waste management; Forestry; Engineering; Composite material; Materials science; Mathematics; Meteorology; Geotechnical engineering; Botany; Computer science; Statistics; Geography","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":[0.00014898,0.0002729071,0.0002077616,0.0001876705,0.0001644438,0.0002056832,0.0002230169,0.0001336741,0.001114568],"category_scores_gemma":[0.0002544871,0.0001376928,0.0001733111,0.0001781756,0.0001522104,0.0002219812,0.0001487504,0.0003962067,0.00009364591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002094371,"about_ca_system_score_gemma":0.0001443925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001205348,"about_ca_topic_score_gemma":0.003125652,"domain_scores_codex":[0.9998971,0.00001424708,0.00001191829,0.00003421411,0.00002489681,0.00001754327],"domain_scores_gemma":[0.9998432,0.00002599104,0.00004221579,0.0000159574,0.00003541397,0.00003715291],"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":[0.002983494,0.0004948749,0.003110584,0.0001006681,0.00002044126,0.00004894961,0.0001054364,0.0002171834,0.9860126,0.00006285121,0.0000492959,0.006793641],"study_design_scores_gemma":[0.0002043546,0.008885509,0.188267,0.00001387066,0.0001802493,0.0001575787,0.0001782821,0.00150542,0.7981135,0.00007340429,0.002380943,0.00003988267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990244,0.0001587333,0.0003614584,0.000006310265,0.000008272472,0.00003259568,0.00005624417,0.00001294861,0.0003391628],"genre_scores_gemma":[0.9963212,0.0001906208,0.002141923,0.00003320625,0.00001282032,0.00007159934,0.0002093622,0.00001858498,0.001000599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001205348,"threshold_uncertainty_score":0.003728628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734277626120736,"score_gpt":0.250548950614591,"score_spread":0.2332061743533836,"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."}}