{"id":"W1876045429","doi":"","title":"THEORETICAL MODELING OF BONDING CHARACTERISTICS AND PERFORMANCE OF WOOD COMPOSITES. PART IV. INTERNAL BOND STRENGTH","year":2008,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; FPInnovations","keywords":"Composite material; Materials science; Bond strength; Composite number; Nonlinear system; Monotonic function; Mathematics; Layer (electronics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003401628,0.0005695663,0.0003187924,0.0005670824,0.0002954987,0.0004266542,0.0009851509,0.0008617842,0.002335672],"category_scores_gemma":[0.0007950027,0.0004171026,0.0007159065,0.0003034093,0.0004311528,0.0006961587,0.0002640155,0.0003869986,0.0005830998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005127906,"about_ca_system_score_gemma":0.0004663408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002234611,"about_ca_topic_score_gemma":0.00123193,"domain_scores_codex":[0.999887,0.00001900519,0.000003717082,0.00001682925,0.00005471612,0.00001874467],"domain_scores_gemma":[0.9998505,0.00006996788,0.00002331325,0.00001471225,0.00003381871,0.00000753449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008558419,0.00003424037,0.0005222684,0.00005320176,0.000008072412,0.00007725,0.00003473098,0.9705738,0.005966882,0.01656408,0.0002703422,0.005886534],"study_design_scores_gemma":[0.000001572464,0.00001853069,0.0002785196,0.000005607251,0.000003759859,0.00002992033,0.000005812719,0.9943245,0.0009128075,0.00385635,0.000558875,0.000003638777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2390502,0.001449903,0.7017673,0.0003570662,0.00006997756,0.0001664753,0.0004452044,0.0004589054,0.05623504],"genre_scores_gemma":[0.9673613,0.0009531504,0.02167857,0.00004534994,0.00002529203,0.0002559233,0.0002009934,0.00006628551,0.009413069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002335672,"threshold_uncertainty_score":0.007813573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01038193926731167,"score_gpt":0.1961200337727184,"score_spread":0.1857380945054068,"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."}}