{"id":"W2555753242","doi":"10.3303/cet1331003","title":"Risk Assessment of CO2 Pipeline Network for CCS – A UK Case Study","year":2013,"lang":"en","type":"article","venue":"Padua Research Archive (University of Padova)","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Computer science; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.001148861,0.0001569922,0.0003790179,0.0004367637,0.0001310184,0.00001835132,0.0005690037,0.0000801951,0.00009606529],"category_scores_gemma":[0.0002568102,0.0001794478,0.0001446936,0.0005679162,0.0004126159,0.0001197635,0.0006116271,0.0005730735,0.000009815134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001119414,"about_ca_system_score_gemma":0.00006766026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004053457,"about_ca_topic_score_gemma":0.003463518,"domain_scores_codex":[0.9982697,0.0002016836,0.0001984328,0.0002842172,0.0005002632,0.0005457069],"domain_scores_gemma":[0.9977313,0.001029467,0.00008631842,0.0005945367,0.0004260957,0.0001322343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004635045,0.001864991,0.1440462,0.001722251,0.00258544,0.003545995,0.01299703,0.06793055,0.3126584,0.002670689,0.3381792,0.1113358],"study_design_scores_gemma":[0.001915778,0.0007756456,0.02627053,0.00006355505,0.00007661782,0.00004237612,0.03859198,0.9184213,0.000176586,0.012607,0.0007904074,0.0002681762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4556331,0.0001322471,0.5396758,0.0001491077,0.00006222833,0.001827496,0.0001758513,0.000196258,0.002147904],"genre_scores_gemma":[0.811247,0.000119857,0.1884789,0.000001853105,0.00003191853,0.00001260373,0.00001204699,0.00002052968,0.0000753172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8504908,"threshold_uncertainty_score":0.7317669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03204636405578147,"score_gpt":0.2903692773501695,"score_spread":0.2583229132943881,"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."}}