{"id":"W2899578532","doi":"","title":"Tail Behaviour of Pipeline Mechanical Strength Distributions","year":2018,"lang":"en","type":"article","venue":"The 28th International Ocean and Polar Engineering Conference","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Intecsea (Canada)","funders":"","keywords":"Pipeline (software); Forensic engineering; Engineering; Mechanical 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":[0.0006360136,0.0002784068,0.000247104,0.0008304355,0.0002458917,0.0004558737,0.000668273,0.0006805783,0.003486852],"category_scores_gemma":[0.006755112,0.0002638348,0.0003019941,0.0005521433,0.0006649411,0.001064101,0.0007050386,0.001202997,0.001060845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005095938,"about_ca_system_score_gemma":0.0002918051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002542839,"about_ca_topic_score_gemma":0.002095071,"domain_scores_codex":[0.9996384,0.00005750318,0.00001626315,0.00008960015,0.000115845,0.00008237893],"domain_scores_gemma":[0.995052,0.002772744,0.0005240657,0.000532488,0.0008740767,0.0002446069],"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":[0.003406839,0.0005349497,0.07387938,0.0006624465,0.0001736113,0.002949831,0.003312144,0.3966001,0.3576082,0.01871071,0.005919183,0.1362426],"study_design_scores_gemma":[0.00003251448,0.0003632113,0.06383233,0.00009109594,0.00002917104,0.0008530184,0.0004966759,0.8592495,0.06532358,0.007158694,0.002466465,0.0001037675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8989641,0.0002149447,0.08809721,0.0003229677,0.00002263877,0.00003920756,0.000802547,0.001977702,0.009558685],"genre_scores_gemma":[0.9959769,0.00003381363,0.001091817,0.00004179482,0.000003952142,0.00001053028,0.0003026992,0.0001307961,0.002407829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003486852,"threshold_uncertainty_score":0.01166463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404466671159013,"score_gpt":0.2398797203046468,"score_spread":0.2258350535930567,"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."}}