{"id":"W2041824673","doi":"10.1016/j.engfracmech.2003.12.007","title":"Characterizing dynamic fracture toughness of linepipe steels using the pressed-notch drop-weight-tear test specimen","year":2004,"lang":"en","type":"article","venue":"Engineering Fracture Mechanics","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Materials science; Drop (telecommunication); Fracture toughness; Fracture mechanics; Displacement (psychology); Drop test; Toughness; Pipeline transport; Crack growth resistance curve; Composite material; Structural engineering; Mechanics; Engineering; Crack closure; Mechanical engineering; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003491622,0.0007647718,0.000716872,0.0002341537,0.0001610036,0.0001031244,0.0007731495,0.0005738763,0.00009578074],"category_scores_gemma":[0.0001779695,0.0006209464,0.0002610715,0.0006108387,0.00002390349,0.0004221416,0.0001120353,0.001395176,0.0000199654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003164171,"about_ca_system_score_gemma":0.00007598569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003344446,"about_ca_topic_score_gemma":0.000007988124,"domain_scores_codex":[0.9973352,0.00002786613,0.0007443612,0.0004769411,0.0005977244,0.0008179245],"domain_scores_gemma":[0.998197,0.0002650514,0.0002248097,0.0009852104,0.0001362883,0.0001915943],"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":[0.00000902069,0.00006008543,0.000005122014,0.000248029,0.0001278631,0.00002722507,0.0009201237,0.7177811,0.2798522,0.0005029712,0.00007261778,0.000393723],"study_design_scores_gemma":[0.0007194261,0.0001000485,0.0001687789,0.0004487245,0.0001722601,0.00006748196,0.0001288757,0.5732001,0.3951956,0.0008528538,0.02807391,0.0008719644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06069927,0.002131936,0.9329084,0.0005297221,0.002154967,0.0006826268,0.00007713445,0.0007413282,0.0000746814],"genre_scores_gemma":[0.9892727,0.0002800408,0.009034916,0.0003569712,0.000657666,0.00002666643,0.00006295533,0.0002747955,0.00003326217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9285734,"threshold_uncertainty_score":0.9996242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006393491631470891,"score_gpt":0.2002421168077912,"score_spread":0.1938486251763203,"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."}}