{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00135797,0.0002876011,0.0001987059,0.00390545,0.0005488066,0.0009504828,0.0003853212,0.0004594822,0.001119096],"category_scores_gemma":[0.005320521,0.0001587853,0.000276011,0.003392804,0.0004205744,0.001369653,0.0009285494,0.0007839891,0.0004835487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009987064,"about_ca_system_score_gemma":0.000627933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01074144,"about_ca_topic_score_gemma":0.02107489,"domain_scores_codex":[0.9991279,0.0000667183,0.0001009298,0.0001542542,0.0004416162,0.0001085382],"domain_scores_gemma":[0.9925499,0.0007997064,0.002951177,0.0003196543,0.003055693,0.0003239523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002027803,0.00009323004,0.9238024,0.0001477551,0.00009510839,0.0002888043,0.001186617,0.003522257,0.002315128,0.002028601,0.005360342,0.06095692],"study_design_scores_gemma":[0.000001525348,0.0001509548,0.9882609,0.00003912102,0.000019373,0.0002815843,0.0009414738,0.002664773,0.0007841348,0.0003337362,0.006501825,0.00002059939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984283,0.001116293,0.002219959,0.0004341443,0.00006308331,0.00002925444,0.00537546,0.0001155778,0.006363271],"genre_scores_gemma":[0.9903445,0.0007963406,0.001257715,0.00006944498,0.00005746626,0.0000304003,0.005797685,0.00001942582,0.001626939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01074144,"threshold_uncertainty_score":0.02135783,"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."}}