{"id":"W2027486052","doi":"10.1016/s0013-7944(01)00091-1","title":"Bridging crack model for fracture of spruce","year":2002,"lang":"en","type":"article","venue":"Engineering Fracture Mechanics","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bridging (networking); Materials science; Cracking; Toughening; Composite material; Cantilever; Fracture mechanics; Scanning electron microscope; Fracture (geology); Structural engineering; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003844538,0.0005451605,0.001037259,0.0006347119,0.0006363689,0.0007026932,0.002058089,0.003219188,0.004579808],"category_scores_gemma":[0.0008950645,0.0004017665,0.0008094701,0.000456838,0.0006473748,0.0007486676,0.0006947258,0.0009444944,0.0006168043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006714509,"about_ca_system_score_gemma":0.0008890854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01628603,"about_ca_topic_score_gemma":0.01475115,"domain_scores_codex":[0.9998807,0.00002670484,0.000006027687,0.00002412071,0.00003994561,0.00002250932],"domain_scores_gemma":[0.9997705,0.00006726955,0.00002376208,0.00003152362,0.00007070561,0.00003630904],"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":[0.00004467917,0.00005417897,0.0005521516,0.00006056639,0.00002653045,0.0001887834,0.00007549724,0.9499707,0.004544848,0.03897348,0.00101202,0.004496622],"study_design_scores_gemma":[0.000007050745,0.000007385088,0.00009930186,0.00000402194,0.000004667139,0.00001871954,0.000009376572,0.99651,0.0001502664,0.002725455,0.0004593754,0.000004381984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3278639,0.001815961,0.6094386,0.001373347,0.0003844056,0.000154887,0.001347516,0.0007607305,0.0568606],"genre_scores_gemma":[0.930549,0.0006194623,0.03668184,0.0001915346,0.0001080511,0.0001565559,0.0003613202,0.0002277375,0.03110444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01628603,"threshold_uncertainty_score":0.03238243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365387773698258,"score_gpt":0.1815632091930055,"score_spread":0.1679093314560229,"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."}}