{"id":"W193169547","doi":"","title":"Characterizing microscopic behavior of wood under transverse compression. Part II. Effect of species and loading direction","year":2001,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Softwood; Compression (physics); Deformation (meteorology); Composite material; Materials science; Hardwood; Stress (linguistics); Botany","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004496792,0.0001632476,0.0003053808,0.0002519122,0.0004347857,0.00004093134,0.0002274013,0.0001062326,0.000009108356],"category_scores_gemma":[0.00001592035,0.0001259057,0.00004074588,0.001298522,0.003371111,0.0005631585,0.0001277256,0.0001235802,4.3601e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002599307,"about_ca_system_score_gemma":0.00003912657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001263323,"about_ca_topic_score_gemma":0.000002747984,"domain_scores_codex":[0.9988533,0.000007117641,0.0002282621,0.0003147817,0.0002864255,0.0003101602],"domain_scores_gemma":[0.9995556,0.00002623488,0.0000815737,0.0001792794,0.00008822574,0.00006912766],"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":[0.00000556299,0.00003251191,0.008951427,0.00008514483,0.00001318606,4.696434e-7,0.0009034089,0.000002510194,0.9793251,0.00006683816,0.00001904531,0.01059486],"study_design_scores_gemma":[0.0004936982,0.0004813102,0.009037742,0.0002093393,0.00005007576,0.00002041975,0.0009117732,0.000327817,0.9877557,0.00003907623,0.0005270743,0.0001459409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978347,0.001247511,0.00001147659,0.0001772432,0.000107235,0.0001896357,0.00000699059,0.00007556399,0.0003496268],"genre_scores_gemma":[0.9979907,0.001201591,0.0006869201,0.000007015634,0.00000953697,0.00001046692,5.876886e-7,0.000006460759,0.00008666692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01044892,"threshold_uncertainty_score":0.9993411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113813170048328,"score_gpt":0.2172181130387905,"score_spread":0.2058367960339577,"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."}}