{"id":"W2017445404","doi":"10.1115/ipc2014-33325","title":"Development and Validation of Load-Interaction Based Models for Crack Growth Prediction","year":2014,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spectra Energy (Canada); TransCanada (Canada); University of Alberta","funders":"","keywords":"SCADA; Pipeline transport; Paris' law; Spectral line; Pipeline (software); Computer science; Materials science; Structural engineering; Mechanics; Fracture mechanics; Physics; Engineering; Crack closure; Mechanical engineering; Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001522869,0.00132578,0.001099314,0.001083377,0.0004782767,0.001154837,0.002277722,0.001307395,0.001680752],"category_scores_gemma":[0.0050888,0.0005947914,0.001052771,0.000561418,0.0004092845,0.0009421235,0.0007820626,0.001365339,0.0005599895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009711065,"about_ca_system_score_gemma":0.001756811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02079704,"about_ca_topic_score_gemma":0.01069735,"domain_scores_codex":[0.9994325,0.0001182742,0.00006001952,0.0001151736,0.0002149892,0.00005910331],"domain_scores_gemma":[0.9974063,0.001318607,0.0001827416,0.0001990046,0.0008186271,0.000074753],"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":[0.00003800804,0.00008569509,0.002335073,0.00004561778,0.00003094379,0.00004869348,0.00003424237,0.9854515,0.001979785,0.0003862602,0.0002166171,0.009347646],"study_design_scores_gemma":[0.000002571215,0.00001066384,0.0001833255,0.000002682559,0.000002681541,0.00000322098,0.000004081973,0.9988503,0.0007888251,0.00006296701,0.00008540506,0.00000327107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4566613,0.0002126704,0.5249686,0.0001884882,0.0001149916,0.000572851,0.00140884,0.01068332,0.005189012],"genre_scores_gemma":[0.8790398,0.0001506108,0.1170301,0.00004128219,0.00001976701,0.000566819,0.001004675,0.0003764602,0.00177047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02079704,"threshold_uncertainty_score":0.04135197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801989709529997,"score_gpt":0.2233587188021159,"score_spread":0.2053388217068159,"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."}}