{"id":"W2049960395","doi":"10.15376/biores.8.3.4101-4116","title":"Acoustic Testing and Sorting of Chinese Poplar Logs for Structural LVL Products","year":2013,"lang":"en","type":"article","venue":"BioResources","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"","keywords":"Laminated veneer lumber; Veneer; Materials science; Young's modulus; Cunninghamia; Composite material; Botany","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":[0.00003478921,0.0001083712,0.0001249952,0.00003674529,0.00005675662,0.00003127837,0.00005027693,0.00003057472,0.000007404582],"category_scores_gemma":[0.000173995,0.00007264881,0.00001663753,0.00007538726,0.00003667932,0.00008488394,0.00001793732,0.00003112512,0.000002617513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005462607,"about_ca_system_score_gemma":0.000003347334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006490282,"about_ca_topic_score_gemma":0.000005198526,"domain_scores_codex":[0.9995686,0.00000492456,0.0001333714,0.00009730332,0.00005040046,0.0001453698],"domain_scores_gemma":[0.9997352,0.00008589515,0.00003315289,0.0000772867,0.00004125796,0.00002715193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001613573,0.00001309321,0.5814082,0.001177442,0.0001307807,0.000001470488,0.003061918,0.003862732,0.3803762,0.00001324485,0.0003317574,0.02960698],"study_design_scores_gemma":[0.001671704,0.0005577588,0.6896836,0.0002445876,0.0001605685,0.00003592212,0.0007943825,0.1963624,0.1062482,0.002807111,0.0005107402,0.0009229542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975656,0.001787286,0.00001382135,0.00003112121,0.00006157774,0.0002491343,0.000005671605,0.0001077796,0.0001780269],"genre_scores_gemma":[0.9968553,0.000004764033,0.00292159,0.00000434015,0.0001119954,0.00002462737,0.000003458974,0.00001823881,0.00005571991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.274128,"threshold_uncertainty_score":0.2962532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394047538549401,"score_gpt":0.1977943647059512,"score_spread":0.1838538893204572,"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."}}