{"id":"W2321891000","doi":"10.1115/ipc2006-10114","title":"Ductile Fracture Resistance Modeling Approach in Two High Grade Steels","year":2006,"lang":"en","type":"article","venue":"Volume 3: Materials and Joining; Pipeline Automation and Measurement; Risk and Reliability, Parts A and B","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petroleum Technology Alliance Canada; TransCanada (Canada)","funders":"","keywords":"Fracture mechanics; Fracture (geology); Materials science; Tension (geology); Crack growth resistance curve; Fracture toughness; Structural engineering; Strain energy release rate; Composite material; Point (geometry); Crack closure; Ultimate tensile strength; 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":[0.001386216,0.0002461243,0.0003959653,0.0001289868,0.0001720374,0.000189278,0.00003870271,0.0001166385,0.00001756527],"category_scores_gemma":[0.00006254135,0.0002075855,0.00002282366,0.00009377932,0.00006843586,0.0002759991,0.00003431223,0.0001273577,7.362488e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002847959,"about_ca_system_score_gemma":0.00001128083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005233091,"about_ca_topic_score_gemma":0.00008032562,"domain_scores_codex":[0.9984298,0.000109062,0.0006149691,0.0003623903,0.0002544386,0.0002292857],"domain_scores_gemma":[0.9995232,0.00002293729,0.0001133354,0.0001705303,0.00009088852,0.00007909077],"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":[0.001017676,0.002160361,0.2298271,0.01889838,0.000334767,0.00003329764,0.01339934,0.4002153,0.2224407,0.01804513,0.02568304,0.06794497],"study_design_scores_gemma":[0.003544496,0.0001045014,0.05884462,0.0005315423,0.000174713,0.00002420629,0.0002427962,0.8739975,0.01679428,0.02994964,0.0146578,0.00113391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860269,0.001802577,0.01094884,0.0001278566,0.0001527377,0.0004161024,0.0000317073,0.000279452,0.0002137741],"genre_scores_gemma":[0.9935551,0.0009794454,0.005089517,0.00003090191,0.0001241745,0.0000375145,0.00003671404,0.00002526372,0.0001214106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4737822,"threshold_uncertainty_score":0.8465093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548909009337961,"score_gpt":0.2311022242498514,"score_spread":0.2156131341564718,"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."}}