{"id":"W3017498282","doi":"10.1016/j.ijmecsci.2020.105661","title":"Experimental stress state-dependent void nucleation behavior for advanced high strength steels","year":2020,"lang":"en","type":"article","venue":"International Journal of Mechanical Sciences","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"AUTO21 Network of Centres of Excellence; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Nucleation; Void (composites); Composite material; Microstructure; Plasticity; Martensite; Simple shear; Plane stress; Shear (geology); Strain hardening exponent; Digital image correlation; Metallurgy; Structural engineering; Finite element method; Thermodynamics","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":[0.0002975593,0.0002505979,0.0002173933,0.0002790199,0.0003755088,0.0002554388,0.0004936393,0.000409344,0.003829784],"category_scores_gemma":[0.0008134968,0.000214905,0.0001864487,0.000340827,0.0004797761,0.0003459306,0.0001856032,0.0002714699,0.0003469341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005715493,"about_ca_system_score_gemma":0.0002353052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002784617,"about_ca_topic_score_gemma":0.00450979,"domain_scores_codex":[0.9997377,0.00002243487,0.00001494965,0.00005429769,0.0001185127,0.00005224717],"domain_scores_gemma":[0.9992884,0.0002149221,0.0001027473,0.0000892401,0.0002545346,0.00005009373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004990025,0.0001560511,0.001899125,0.0001162891,0.00001441365,0.0001182499,0.0001737404,0.007007413,0.9860048,0.0005357352,0.0005527902,0.002922452],"study_design_scores_gemma":[0.00004203156,0.0005886579,0.01190743,0.000009347159,0.00001375504,0.00006918218,0.0000962694,0.04021811,0.9461181,0.0001370736,0.0007776592,0.00002226184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996046,0.0001597946,0.001226024,0.00003411828,0.00002192814,0.00001125679,0.0003940125,0.0001134686,0.001993293],"genre_scores_gemma":[0.9988886,0.0000437284,0.0004210995,0.000004481956,0.000003588432,0.000004953609,0.0001924675,0.00002144502,0.0004196845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003829784,"threshold_uncertainty_score":0.0128119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02625330181979283,"score_gpt":0.3136022806507954,"score_spread":0.2873489788310025,"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."}}