{"id":"W4409500994","doi":"10.5006/c2024-20705","title":"Use of AMPP SP 0113 for Methods Selection and Implementation of Pipeline Integrity Management","year":2024,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Gibson Energy (Canada)","funders":"","keywords":"Pipeline (software); Computer science; Selection (genetic algorithm); Operating system; Artificial intelligence","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":[0.02690777,0.001864166,0.0009262291,0.006157624,0.001754723,0.00462898,0.003150981,0.001744065,0.05775527],"category_scores_gemma":[0.0618681,0.002023349,0.001396534,0.002903451,0.001162822,0.004561909,0.004399415,0.002895453,0.04096191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002205325,"about_ca_system_score_gemma":0.007194418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003290564,"about_ca_topic_score_gemma":0.002545189,"domain_scores_codex":[0.9721099,0.007518002,0.003875849,0.00218081,0.01343154,0.0008838697],"domain_scores_gemma":[0.9240401,0.02128442,0.004649477,0.01971242,0.029006,0.001307538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007503495,0.0005899635,0.003076137,0.001962838,0.00008919749,0.0005985635,0.001737674,0.006263199,0.02497562,0.03901758,0.2109478,0.7099911],"study_design_scores_gemma":[0.0001639542,0.0002579038,0.00285211,0.001250827,0.00004594465,0.0005622078,0.0002200236,0.02788142,0.05636775,0.01097263,0.8992749,0.0001504104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004257116,0.0002189092,0.8337148,0.0006956367,0.0003907827,0.002095086,0.006046123,0.09968864,0.0528928],"genre_scores_gemma":[0.02364365,0.0003015393,0.9072921,0.000530883,0.0001286701,0.003659408,0.01450978,0.02225252,0.02768146],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05775527,"threshold_uncertainty_score":0.1932107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04022942281071519,"score_gpt":0.3678616464123967,"score_spread":0.3276322236016815,"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."}}