{"id":"W2775090642","doi":"10.1007/s10086-017-1671-y","title":"Investigation of elastic constants and ultimate strengths of Korean pine from compression and tension tests","year":2017,"lang":"en","type":"article","venue":"Journal of Wood Science","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Tension (geology); Materials science; Composite material; Compression (physics); Structural engineering; Compression test; Ultimate tensile strength; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004584429,0.0005017747,0.0002897617,0.001244233,0.0005189676,0.0002700867,0.0005949575,0.0004162806,0.001778118],"category_scores_gemma":[0.0005696201,0.0003146026,0.000331068,0.001058496,0.0003339438,0.0007317715,0.0002919891,0.0005937381,0.0002489627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001654392,"about_ca_system_score_gemma":0.0003213759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002826647,"about_ca_topic_score_gemma":0.008221322,"domain_scores_codex":[0.9996765,0.00001318868,0.00002904292,0.00005330203,0.0001797049,0.00004829465],"domain_scores_gemma":[0.9992811,0.0001975401,0.0001228103,0.00003602228,0.0002868463,0.00007562293],"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":[0.0003886503,0.0001026337,0.02789062,0.0002064539,0.00002818986,0.0006803302,0.0004766204,0.001256029,0.9524277,0.0003273503,0.0001654565,0.01605002],"study_design_scores_gemma":[0.00001280494,0.0006744498,0.3087509,0.0000375428,0.0001881176,0.0008284099,0.00135304,0.004002904,0.6809186,0.0003059346,0.002859054,0.00006809737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960911,0.0005640822,0.0009756949,0.00001072318,0.00001080935,0.00001034242,0.0003251735,0.00001633756,0.001995787],"genre_scores_gemma":[0.9985997,0.000165545,0.0003256683,0.000009039124,0.000002740274,0.000006532617,0.000197426,0.000006688056,0.0006866478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002826647,"threshold_uncertainty_score":0.005948424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238495735764387,"score_gpt":0.2484240994806657,"score_spread":0.224574525904227,"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."}}