{"id":"W2617438942","doi":"10.1139/er-2017-0003","title":"Canada’s federal database is inadequate for the assessment of environmental consequences of oil and gas pipeline failures","year":2017,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pipeline and Hazardous Materials Safety Administration","keywords":"Pipeline transport; Jurisdiction; Pipeline (software); Database; Hazardous waste; Fossil fuel; Environmental science; Business; Engineering; Environmental resource management; Computer science; Waste management; Environmental engineering; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.005443518,0.0009718609,0.001395876,0.02020518,0.004929714,0.005436539,0.00307804,0.000918341,0.01165407],"category_scores_gemma":[0.02987693,0.0007171855,0.00128699,0.03867938,0.0009544457,0.002093862,0.001869338,0.001134369,0.003457013],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04628744,"about_ca_system_score_gemma":0.1279491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9876265,"about_ca_topic_score_gemma":0.9869418,"domain_scores_codex":[0.983889,0.0008501658,0.001376121,0.001218878,0.01124647,0.001419363],"domain_scores_gemma":[0.9083056,0.008094423,0.004542443,0.005372578,0.07152471,0.002160336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004400273,0.0001479606,0.1598371,0.002439723,0.0004725637,0.0003469679,0.001208302,0.003588456,0.0007195326,0.013293,0.6162556,0.2012507],"study_design_scores_gemma":[0.00007953209,0.0000502106,0.2464783,0.001373504,0.0003241932,0.0002284049,0.001919877,0.003751921,0.001915842,0.002468762,0.741192,0.0002173738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.02704048,0.003325904,0.00597258,0.003698713,0.0002171793,0.0006337731,0.8923808,0.00173303,0.06499747],"genre_scores_gemma":[0.21518,0.005234652,0.01660272,0.001887055,0.00007564081,0.0008047437,0.7422394,0.000463815,0.01751197],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9537126,"threshold_uncertainty_score":0.3358405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272167291812749,"score_gpt":0.267794818459487,"score_spread":0.2450731455413596,"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."}}