{"id":"W2205802450","doi":"","title":"Influence of Machining Parameters on the Tensile Strength of Finger-Jointed High-Density Black Spruce Lumber","year":2011,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations; Université Laval","keywords":"Ultimate tensile strength; Solid wood; Machining; Chip; Softwood; Materials science; Composite material; Engineered wood; Laminated veneer lumber; Structural engineering; Engineering; Metallurgy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003008087,0.0003185591,0.0002143861,0.000214966,0.0001303475,0.0003150384,0.0001653556,0.0002064512,0.0006887131],"category_scores_gemma":[0.0005501296,0.0001938675,0.0001958345,0.000153456,0.0001409497,0.0001862263,0.0001089151,0.0002262197,0.0001325645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001832977,"about_ca_system_score_gemma":0.0001106964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001264671,"about_ca_topic_score_gemma":0.003678979,"domain_scores_codex":[0.999798,0.00003614645,0.00001863302,0.00004774727,0.00006560024,0.00003399912],"domain_scores_gemma":[0.9993862,0.0002858976,0.000131027,0.00003307022,0.0001013889,0.00006233888],"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":[0.0006818351,0.0001293242,0.0100832,0.00008630862,0.00002353225,0.00008432031,0.00007163396,0.001262688,0.981057,0.00001070803,0.00002366174,0.006485926],"study_design_scores_gemma":[0.00001560071,0.002819654,0.2790031,0.00001013781,0.00005966532,0.0001342969,0.0001557818,0.003477961,0.7137792,0.00001860165,0.0005019279,0.00002420141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999595,0.0001177772,0.0001649092,0.000001510672,0.000001157156,0.000002404423,0.00001729429,0.000003494833,0.00009645812],"genre_scores_gemma":[0.9991725,0.00005619899,0.0005084783,0.000003755455,7.478881e-7,0.000002816187,0.0000394412,0.000004146635,0.0002118706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001264671,"threshold_uncertainty_score":0.00251466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488525429319364,"score_gpt":0.1913198601561823,"score_spread":0.1764346058629886,"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."}}