{"id":"W3005956474","doi":"10.1016/j.ijsolstr.2020.02.017","title":"An extended edge-notched disc bend (ENDB) specimen for mixed-mode I+II fracture assessments","year":2020,"lang":"en","type":"article","venue":"International Journal of Solids and Structures","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Waterloo","funders":"","keywords":"Materials science; Fracture toughness; Composite material; Fracture (geology); Enhanced Data Rates for GSM Evolution; Stress intensity factor; Ridge; Brittleness; Shear (geology); Finite element method; Mode (computer interface); Fracture mechanics; Structural 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":[0.00006589659,0.0001715256,0.0002321883,0.00007841704,0.00006092817,0.0001099751,0.0003350206,0.00009831609,0.00007828471],"category_scores_gemma":[0.0000295452,0.0001342967,0.0001035127,0.00003528408,0.00001986523,0.00032191,0.00003114389,0.0002720337,4.34364e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003553839,"about_ca_system_score_gemma":0.00002519826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003243792,"about_ca_topic_score_gemma":0.000004838653,"domain_scores_codex":[0.9990494,0.0000133755,0.0003306967,0.0001282827,0.0003280355,0.0001502658],"domain_scores_gemma":[0.9994225,0.00003646433,0.0001282375,0.00007578392,0.0001694874,0.0001675309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001817109,0.0003077825,0.00200801,0.0003232379,0.004497971,0.0003635521,0.01265226,0.1183998,0.3674936,0.02968833,0.06667257,0.3957758],"study_design_scores_gemma":[0.01016702,0.003691286,0.05037038,0.0002814949,0.0004390384,0.0005666931,0.002499856,0.2178562,0.3044314,0.1929199,0.2148344,0.001942395],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6829845,0.001208865,0.3077188,0.003249391,0.003809448,0.0002322812,0.000275172,0.00007325195,0.0004481814],"genre_scores_gemma":[0.9897748,0.0001173981,0.007685195,0.0006916762,0.001656065,0.000001943174,0.00003724665,0.0000264287,0.000009281754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3938334,"threshold_uncertainty_score":0.5476462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440413376884373,"score_gpt":0.3072265914829477,"score_spread":0.292822457714104,"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."}}