{"id":"W2924091838","doi":"10.1515/hf-2018-0235","title":"Dynamic mechanical analysis (DMA) at room temperature of archaeological wood treated with various consolidants","year":2019,"lang":"en","type":"article","venue":"Holzforschung","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Circulatory and Respiratory Health","keywords":"Softwood; Composite material; Materials science; Dynamic mechanical analysis; Rosin; Hardwood; Wood flour; Pinus pinaster; Viscoelasticity; Dynamic modulus; Polyethylene; Pulp and paper industry; Chemistry; Polymer; Botany; Resin acid; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006758224,0.0002453025,0.0005024065,0.0001623368,0.00004438483,0.00001517119,0.0001430366,0.0001736507,0.0003466233],"category_scores_gemma":[0.000004717523,0.000161109,0.0001490074,0.000491919,0.00004915739,0.00008223704,0.00005590181,0.0001844678,0.00007858492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007476845,"about_ca_system_score_gemma":0.00001205986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002880707,"about_ca_topic_score_gemma":0.0002258925,"domain_scores_codex":[0.998973,0.00003722514,0.0002281439,0.0002519281,0.0002005794,0.0003091604],"domain_scores_gemma":[0.9994568,0.00005501072,0.00004323074,0.0003193284,0.0000396272,0.00008598591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001359528,0.0004241399,0.625887,0.0004052348,0.01308674,0.0003909261,0.001770479,0.07792645,0.2754816,0.001117472,0.0002254031,0.001925],"study_design_scores_gemma":[0.008922502,0.003415675,0.3886654,0.0003520087,0.005730611,0.0002699883,0.0005776825,0.220987,0.3674678,0.0003965024,0.0007712098,0.00244355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973764,0.0006742858,0.00007873227,0.00002689563,0.00004120387,0.0002341756,0.00003303159,0.0002026137,0.001332657],"genre_scores_gemma":[0.9976965,0.00007609091,0.0009066937,0.00001331485,0.000008918406,0.00001710731,0.00008290376,0.00003076421,0.00116769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2372216,"threshold_uncertainty_score":0.6569835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005674038856747972,"score_gpt":0.1899369199016493,"score_spread":0.1842628810449013,"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."}}