{"id":"W2561056267","doi":"10.1115/ipc2016-64503","title":"Long Term (1970 to 2015) Trending of the Nine Prescriptive Pipeline Threats","year":2016,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dynamic Systems Analysis (Canada)","funders":"","keywords":"Pipeline (software); Hazardous waste; Forensic engineering; Term (time); Pipeline transport; Engineering; Computer science; Risk analysis (engineering); Reliability engineering; Computer security; Business; Mechanical engineering; Waste management","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000826685,0.0001162284,0.0001787461,0.00006535579,0.00003532696,0.00001004403,0.0002227241,0.00006728135,0.001062886],"category_scores_gemma":[0.00006220842,0.00005025091,0.0001358042,0.0002328139,0.000057497,0.00009413694,0.00006033484,0.00008860901,0.00003507004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005573521,"about_ca_system_score_gemma":0.000005054942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001101828,"about_ca_topic_score_gemma":0.0003828916,"domain_scores_codex":[0.9993303,0.00001849945,0.0002141395,0.0001357403,0.000136344,0.0001649678],"domain_scores_gemma":[0.9994899,0.00006837437,0.00002181542,0.0003098092,0.00005256736,0.00005752241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009787904,0.00008502204,0.1151672,0.0002283717,0.0007680028,0.000006051286,0.002096826,0.01037797,0.572783,0.003119841,0.05422283,0.241047],"study_design_scores_gemma":[0.0005223464,0.00006082498,0.240527,0.0003974825,0.0002032832,0.00001024746,0.0001651306,0.004342475,0.7501925,0.001290049,0.001823445,0.00046524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964283,0.0004201795,0.01529343,0.003575861,0.0007658253,0.0002396877,0.00004061643,0.0002024736,0.01517894],"genre_scores_gemma":[0.9861165,0.00004995076,0.0002859225,0.00004213973,0.00007709263,0.000004734289,0.000001044781,0.00001008882,0.01341257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2405818,"threshold_uncertainty_score":0.9998503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749164316905635,"score_gpt":0.2550550018492464,"score_spread":0.23756335868019,"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."}}