{"id":"W2118754552","doi":"10.1115/ipc2002-27076","title":"Geometric Dent Characterization","year":2002,"lang":"en","type":"article","venue":"4th International Pipeline Conference, Parts A and B","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre; TransCanada (Canada)","funders":"","keywords":"Characterization (materials science); Pipeline (software); Pipeline transport; Line (geometry); Hydrostatic test; Welding; Computer science; Engineering; Engineering drawing; Mechanical engineering; Geometry; Materials science; Mathematics; Nanotechnology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005603608,0.0001144638,0.0001313093,0.0002076345,0.00004672407,0.0001038499,0.0001191657,0.00006920232,0.003893769],"category_scores_gemma":[0.00004868063,0.00009567147,0.00004898566,0.0001899327,0.00004246647,0.000166093,0.00002500898,0.0001322314,0.0001009587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002389718,"about_ca_system_score_gemma":0.00000317157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001602634,"about_ca_topic_score_gemma":0.00001416555,"domain_scores_codex":[0.9993178,0.0000103786,0.0002248925,0.00015072,0.0001729635,0.0001232909],"domain_scores_gemma":[0.9996527,0.00002607241,0.00003097947,0.00008920283,0.0001358095,0.00006517326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003651759,0.000260671,0.02793309,0.0002006474,0.0006001929,0.0000382799,0.00116358,0.004857166,0.01900593,0.02385224,0.01831484,0.9037368],"study_design_scores_gemma":[0.0002858545,0.00002028634,0.0154769,0.00003287485,0.0000349182,0.00002124386,0.00003457539,0.839694,0.001509384,0.0005579335,0.1420917,0.0002402678],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259126,0.0004492383,0.03238558,0.002464635,0.001977988,0.0001656964,0.0000980529,0.0002793703,0.03626687],"genre_scores_gemma":[0.9934984,0.001005633,0.0001062704,0.0001109498,0.0002350811,0.000008011221,0.0001021844,0.000007301964,0.004926202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9034966,"threshold_uncertainty_score":0.9970168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02672648349067168,"score_gpt":0.2287171666965949,"score_spread":0.2019906832059232,"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."}}