{"id":"W1457736559","doi":"10.2118/175426-ms","title":"Preparation for Cost Effective Decommissioning and Abandonment of Subsea Pipelines","year":2015,"lang":"en","type":"article","venue":"SPE Offshore Europe Conference and Exhibition","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intecsea (Canada)","funders":"","keywords":"Nuclear decommissioning; Subsea; Pipeline transport; Abandonment (legal); Engineering; Risk analysis (engineering); Environmental science; Business; Marine engineering; Waste management; Environmental engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001407442,0.0001220078,0.0001688851,0.00005084509,0.00003577982,0.00002614449,0.00002931114,0.00003431119,0.000004368871],"category_scores_gemma":[0.00007284432,0.0001091097,0.00001776067,0.00005918428,0.00003460857,0.0001057084,0.00003080676,0.00005158091,0.000001516014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000124734,"about_ca_system_score_gemma":0.000009465319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007026928,"about_ca_topic_score_gemma":0.00002096165,"domain_scores_codex":[0.9995075,0.00001366908,0.0001546689,0.0001335396,0.00007522346,0.000115355],"domain_scores_gemma":[0.999651,0.00005015956,0.00002704802,0.00007425014,0.0001284941,0.00006911039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001279096,0.0002285711,0.05190684,0.003263885,0.0004929625,0.00002244113,0.01762001,0.02428185,0.05031682,0.02403179,0.04265169,0.7839041],"study_design_scores_gemma":[0.007709143,0.002598584,0.1133916,0.001475085,0.0003993225,0.00006419787,0.001690132,0.5255512,0.1658661,0.004589706,0.1746715,0.001993436],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9071774,0.00149262,0.08120801,0.0001373655,0.0003158554,0.00117079,0.00002577635,0.0001595437,0.008312645],"genre_scores_gemma":[0.9981173,0.0005467668,0.001017694,0.000008233881,0.00008911798,0.00007094102,0.00003590141,0.00001580138,0.00009825281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7819106,"threshold_uncertainty_score":0.4449363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312191611522979,"score_gpt":0.2627134000983949,"score_spread":0.2395914839831652,"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."}}