{"id":"W1969775204","doi":"10.1080/07373937.2012.725687","title":"Drying Schedules for Canelo Wood","year":2013,"lang":"en","type":"article","venue":"Drying Technology","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"","keywords":"Softwood; Wood drying; Pulp and paper industry; Wood industry; Hardwood; Environmental science; Materials science; Composite material; Botany; Moisture; Forestry; Engineering; Geography; 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":[0.0004544114,0.0004589514,0.000296319,0.0004858741,0.0004172839,0.0002809153,0.0004362859,0.0002003901,0.004029909],"category_scores_gemma":[0.0009963746,0.0001874373,0.0002766038,0.0003764837,0.0001222175,0.0004692251,0.0002529732,0.0006188352,0.0008848328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003785769,"about_ca_system_score_gemma":0.0003055038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001580162,"about_ca_topic_score_gemma":0.00554412,"domain_scores_codex":[0.9997188,0.00002311006,0.0000321556,0.00008445881,0.00009459388,0.00004672691],"domain_scores_gemma":[0.9996089,0.00009615701,0.00006635703,0.00004239299,0.000150555,0.0000356803],"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":[0.000287343,0.0001624919,0.0009373411,0.0004841393,0.00001192596,0.00006610105,0.0002779863,0.001033637,0.9736421,0.0003612788,0.0007243505,0.02201122],"study_design_scores_gemma":[0.00002370754,0.0005945266,0.007358401,0.00003891027,0.00004240363,0.0000744182,0.0001167406,0.00247342,0.9730479,0.0001217713,0.01607112,0.00003666727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9434056,0.002818587,0.04216475,0.0001024106,0.0001764528,0.0007036921,0.001048601,0.0006168316,0.008963074],"genre_scores_gemma":[0.9119336,0.003340389,0.07397551,0.0001594893,0.00005578877,0.001123732,0.001743287,0.0004301665,0.007238127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004029909,"threshold_uncertainty_score":0.01348138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009382162578202683,"score_gpt":0.1867269722080618,"score_spread":0.1773448096298592,"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."}}