{"id":"W2143036137","doi":"10.1139/l01-083","title":"A non-destructive crack detection method for steel jacket offshore platforms based on global and local responses","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural engineering; Finite element method; Displacement (psychology); Discretization; Cracking; Crack tip opening displacement; Submarine pipeline; Saddle; Engineering; Geology; Materials science; Geotechnical engineering; Mathematics; Stress intensity factor; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002553058,0.0002058853,0.0002601941,0.0003493166,0.00007715976,0.00004009757,0.0001326416,0.0001437423,0.00001464958],"category_scores_gemma":[0.0001448507,0.0002047649,0.00007654011,0.000203799,0.00002710808,0.0001748292,0.000004411306,0.00032604,6.933722e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008533241,"about_ca_system_score_gemma":0.00009664123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001812933,"about_ca_topic_score_gemma":0.007967631,"domain_scores_codex":[0.9989931,0.000008187365,0.0003124579,0.0001215608,0.0001354147,0.0004292705],"domain_scores_gemma":[0.9990569,0.0001625169,0.00006294283,0.0001299232,0.0000969771,0.0004906888],"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":[0.0002223402,0.000007675892,0.002192655,0.0007235346,0.0001455199,0.0001559379,0.0006044475,0.8019952,0.001072179,0.0003771294,0.001470518,0.1910328],"study_design_scores_gemma":[0.0006105613,0.0004363238,0.0288343,0.0003329809,0.0000296841,0.0003315299,0.00008121807,0.9632925,0.003713973,0.000648028,0.001388295,0.0003006128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5378164,0.0004575807,0.4597577,0.0000641439,0.001226647,0.0002871589,0.00005851455,0.0001230133,0.0002088776],"genre_scores_gemma":[0.9831863,0.00001489225,0.0164595,0.00002553198,0.0002536366,0.00001245306,6.716519e-7,0.00004157179,0.000005417638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4453699,"threshold_uncertainty_score":0.835007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611612855707857,"score_gpt":0.2540037992770036,"score_spread":0.237887670719925,"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."}}