{"id":"W2534735805","doi":"10.1115/ipc2000-235","title":"Predicting Pipeline Collapse Resistance","year":2000,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Instability; Buckling; Structural engineering; Computer science; Progressive collapse; Bending; Plasticity; Tension (geology); Bifurcation; Pipeline (software); Stability (learning theory); Finite element method; Engineering; Mechanics; Nonlinear system; Ultimate tensile strength; Reinforced concrete; Materials science","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":[0.0007870271,0.0009373499,0.0004668634,0.00214447,0.0003077586,0.0006515476,0.0007032429,0.0007131386,0.00224868],"category_scores_gemma":[0.003754923,0.0004550391,0.000506104,0.001198542,0.0002808465,0.001114192,0.0004886644,0.0004585464,0.001284281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005695468,"about_ca_system_score_gemma":0.0004835213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007080936,"about_ca_topic_score_gemma":0.006386121,"domain_scores_codex":[0.9994642,0.00006501441,0.00002579501,0.0001053182,0.0002934197,0.00004609544],"domain_scores_gemma":[0.998686,0.0005885134,0.0002214405,0.00009981107,0.0003600809,0.00004406019],"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":[0.00008764269,0.00004653377,0.03702404,0.0001375708,0.00003130511,0.0001437811,0.00009636762,0.8770441,0.009911339,0.0007669945,0.001732326,0.07297802],"study_design_scores_gemma":[0.000002117461,0.00004787337,0.009025143,0.000009457289,0.000009793994,0.00005311155,0.00002282804,0.9856142,0.004242123,0.0003188064,0.0006401701,0.00001433947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6150652,0.0003650096,0.3661876,0.0001616609,0.00003072369,0.000168044,0.002988446,0.005717488,0.009315969],"genre_scores_gemma":[0.9649322,0.0003166139,0.03062477,0.00001639739,0.000009256534,0.000073597,0.002095265,0.0001518522,0.001780046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007080936,"threshold_uncertainty_score":0.01407945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006440875008354096,"score_gpt":0.2053075530262945,"score_spread":0.1988666780179404,"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."}}