{"id":"W2053463255","doi":"10.1016/j.ijadhadh.2012.01.014","title":"Experimental and numerical investigations on adhesively bonded hardwood joints","year":2012,"lang":"en","type":"article","venue":"International Journal of Adhesion and Adhesives","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hardwood; Brittleness; Softwood; Joint (building); Materials science; Beech; Structural engineering; Composite material; Adhesive; Lap joint; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007710075,0.0001333634,0.0001534171,0.0001482257,0.00005130562,0.000058847,0.00009131963,0.00004372509,0.0000688537],"category_scores_gemma":[0.00004846488,0.000101706,0.00005795423,0.00003453021,0.00005657216,0.000421658,0.00002758887,0.000118975,0.000019831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003789685,"about_ca_system_score_gemma":0.0000126223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001915597,"about_ca_topic_score_gemma":8.858646e-8,"domain_scores_codex":[0.9992822,0.0000285415,0.0002440376,0.00006960109,0.0002470321,0.0001285687],"domain_scores_gemma":[0.9995582,0.00007544547,0.00007890168,0.00004396946,0.00006537485,0.0001781658],"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":[0.000419653,0.0006623678,0.04875324,0.00004165468,0.0008754794,0.00009444723,0.007698584,0.00005620146,0.9159717,0.006536999,0.009938581,0.008951106],"study_design_scores_gemma":[0.001093698,0.0003936617,0.04161692,0.0001601233,0.00003507829,0.000259849,0.0008874464,0.0001670081,0.9484217,0.000354765,0.006408527,0.0002011778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935111,0.003891345,0.00003329266,0.000651467,0.0006255597,0.00005109433,0.000005972405,0.0000280604,0.001202115],"genre_scores_gemma":[0.9982826,0.0002139221,0.0008714849,0.0001854177,0.000312286,0.000003218813,0.000002471467,0.00001508221,0.0001135491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03245006,"threshold_uncertainty_score":0.4147449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559914278828025,"score_gpt":0.2573839122087766,"score_spread":0.2317847694204964,"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."}}