{"id":"W2962771913","doi":"10.1061/9780784482506.026","title":"Developing a Capacity-Demand Assessment Methodology for Pipeline Components Using Elastic-Plastic Load Factors","year":2019,"lang":"en","type":"article","venue":"Pipelines 2019","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Computer science; Reliability engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001569326,0.001443792,0.0005104029,0.003190071,0.0006738806,0.001467299,0.001719319,0.0008423217,0.004250342],"category_scores_gemma":[0.003724507,0.0007466552,0.001081519,0.001567079,0.000683475,0.002309592,0.001230457,0.0009710038,0.001347809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002041885,"about_ca_system_score_gemma":0.001705923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01417535,"about_ca_topic_score_gemma":0.01789754,"domain_scores_codex":[0.9988801,0.000149001,0.00007837016,0.0001951334,0.0006101283,0.00008728369],"domain_scores_gemma":[0.9986346,0.0003674554,0.0001805295,0.00009821409,0.0006815952,0.00003767418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001671957,0.0000345323,0.001658452,0.0001140693,0.00002141817,0.00007068329,0.0001146481,0.8935736,0.006536183,0.01326201,0.001048453,0.08354918],"study_design_scores_gemma":[0.000002112684,0.00002306735,0.000665281,0.00001969416,0.000007128835,0.00003334051,0.00005294631,0.9876764,0.003226326,0.005656261,0.002614352,0.0000231445],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00542155,0.0000485167,0.9905218,0.00003606924,0.000009134546,0.00009106247,0.0000917991,0.0003133156,0.00346682],"genre_scores_gemma":[0.4888589,0.0003069742,0.5005459,0.00008715307,0.00004759998,0.0004630221,0.0005514845,0.0003093572,0.008829573],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01417535,"threshold_uncertainty_score":0.02818567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1108761277203119,"score_gpt":0.331145609001812,"score_spread":0.2202694812815001,"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."}}