{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002589863,0.0001594127,0.000359751,0.00001415906,0.0002243055,0.00002255142,0.0002723722,0.00004081149,0.0002053962],"category_scores_gemma":[0.00004004288,0.0001023273,0.000117332,0.00001005747,0.0005281097,0.000110381,0.00008078754,0.0001284524,0.000001334298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009923852,"about_ca_system_score_gemma":0.00002606519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04069503,"about_ca_topic_score_gemma":0.03156149,"domain_scores_codex":[0.9990674,0.00003512425,0.000407108,0.00016749,0.0001829728,0.0001399033],"domain_scores_gemma":[0.9991897,0.000104323,0.0001936188,0.0004589529,8.627469e-7,0.00005252001],"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":[0.00003554839,0.0001227747,0.0233891,0.001319204,0.0005403992,0.000006536783,0.0004207533,0.000548036,0.2557896,0.0002194043,0.01184806,0.7057606],"study_design_scores_gemma":[0.001219632,0.0001447734,0.09249297,0.0004944229,0.0006315467,0.00002792012,0.001135585,0.03230243,0.09337084,0.0003387084,0.7770743,0.0007669176],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9279563,0.05552646,0.001261399,0.009354664,0.0004382235,0.0009313498,0.003360108,0.00001758423,0.001153945],"genre_scores_gemma":[0.9534829,0.04488794,0.00113296,0.00009004286,0.00002755027,0.00002654979,0.00003782817,0.000009170411,0.0003050083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7652262,"threshold_uncertainty_score":0.98611,"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."}}