{"id":"W1983946249","doi":"10.1007/s00226-004-0255-3","title":"Finite element techniques and models for wood fracture mechanics","year":2004,"lang":"en","type":"article","venue":"Wood Science and Technology","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Finite element method; Fracture (geology); Representation (politics); Fracture mechanics; Ambiguity; Calibration; Structural engineering; Computer science; Engineering; Mathematics; Geotechnical 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":[0.000118865,0.0001101936,0.0001108025,0.0002409121,0.0001634709,0.0000400947,0.000139637,0.0001134867,0.000001436008],"category_scores_gemma":[0.00001437004,0.00008705607,0.00001025842,0.0003323736,0.0001520575,0.0002126216,0.00005555923,0.00008691329,0.000001127494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003669994,"about_ca_system_score_gemma":0.00003097078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000433689,"about_ca_topic_score_gemma":0.000009571284,"domain_scores_codex":[0.9993747,0.000001201073,0.00008999038,0.0001936934,0.00009369088,0.0002467513],"domain_scores_gemma":[0.999747,0.000009876456,0.00001432507,0.000139989,0.00005227565,0.00003653719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003658316,0.0001705089,0.00009054366,0.0002496975,0.0001436315,0.0000356713,0.002181955,0.007097024,0.09308193,0.5229004,0.0005917465,0.3734203],"study_design_scores_gemma":[0.0006224011,0.0005374333,0.000002265724,0.00004127564,0.0000240639,0.00003351331,0.0003099991,0.021048,0.6290417,0.3344213,0.01366778,0.0002502479],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.764078,0.01653103,0.1916787,0.01531611,0.0003723758,0.002531648,0.0000496574,0.004582068,0.004860447],"genre_scores_gemma":[0.9897914,0.0004645369,0.009540603,0.00006434976,0.00001450331,0.00009595764,0.000001200159,0.00001000569,0.00001747515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5359597,"threshold_uncertainty_score":0.3550043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177260191719328,"score_gpt":0.2146354817730353,"score_spread":0.202862879855842,"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."}}