{"id":"W2325587457","doi":"10.2118/168294-ms","title":"Coiled Tubing Material Selection for Velocity Strings in Sour Brine Service","year":2014,"lang":"en","type":"article","venue":"SPE/ICoTA Coiled Tubing and Well Intervention Conference and Exhibition","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada)","funders":"Shell Canada","keywords":"Coiled tubing; Subsea; Sour gas; Corrosion; Materials science; Stress corrosion cracking; Material selection; Metallurgy; Welding; Carbon steel; Workover; Composite material; Petroleum engineering; Engineering; Marine engineering; Waste management; Natural gas","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003201504,0.00021742,0.0002652504,0.0002078323,0.00009570689,0.0001762403,0.00007347893,0.0001734574,0.00004593537],"category_scores_gemma":[0.00004768863,0.0002393199,0.00005714517,0.0001652996,0.00003159266,0.0002606695,0.00004363799,0.0002032717,0.000007285245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005001424,"about_ca_system_score_gemma":0.000006235913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002300078,"about_ca_topic_score_gemma":0.0002786398,"domain_scores_codex":[0.9989668,0.00002998108,0.0003423297,0.0002896791,0.00008867653,0.000282531],"domain_scores_gemma":[0.9996483,0.00005235908,0.00005868397,0.0001050255,0.00008118201,0.00005449801],"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":[0.0007998121,0.0004817233,0.01691308,0.009501402,0.0003965534,0.00001041158,0.002935837,0.03344728,0.3030573,0.02822704,0.002019533,0.60221],"study_design_scores_gemma":[0.00293678,0.0004152664,0.008611172,0.001759529,0.00006603939,0.0000344749,0.0006717626,0.8831114,0.09437183,0.005202258,0.002110784,0.0007087162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478723,0.00007516932,0.05043749,0.0001564066,0.0003692691,0.0002088522,0.00001202427,0.0004938346,0.000374595],"genre_scores_gemma":[0.9987788,0.0001497517,0.0006893752,0.00001774837,0.000129927,0.00005691378,0.0000775723,0.0000278394,0.00007205829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8496641,"threshold_uncertainty_score":0.9759181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009874231850902075,"score_gpt":0.2102447642206863,"score_spread":0.2003705323697842,"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."}}