{"id":"W4255722152","doi":"10.2523/60747-ms","title":"Optimizing and Managing Coiled Tubing Frac Strings","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPE/ICoTA Coiled Tubing Roundtable","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Information retrieval; Library science; Engineering; World Wide Web; Algorithm; Combinatorics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005554471,0.0007611789,0.0006121417,0.001076203,0.0006693464,0.00113362,0.0009586886,0.0006258839,0.005161557],"category_scores_gemma":[0.001769499,0.0003459675,0.0002668939,0.001101087,0.0003083222,0.001272963,0.0007595051,0.0004288702,0.001566321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056174,"about_ca_system_score_gemma":0.0008179219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001768121,"about_ca_topic_score_gemma":0.003495459,"domain_scores_codex":[0.9993644,0.00006508912,0.00003254786,0.00007427268,0.0003618836,0.0001017896],"domain_scores_gemma":[0.999391,0.0002080821,0.00009366094,0.00009299085,0.0001717159,0.00004257707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003540627,0.0001483547,0.004336949,0.0004196683,0.00004115529,0.0003008584,0.0002264727,0.3723362,0.2372636,0.005301086,0.008287868,0.3709837],"study_design_scores_gemma":[0.00003651687,0.0006052332,0.003681602,0.00004119198,0.0000638577,0.0002397089,0.0002592762,0.7036042,0.2608606,0.003661215,0.0268876,0.00005904914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4292095,0.002096647,0.5228332,0.0008117823,0.0001443594,0.0003850138,0.000826301,0.009624306,0.03406894],"genre_scores_gemma":[0.9066526,0.0005404725,0.08296348,0.00004307151,0.00002596723,0.00009464564,0.0004112051,0.0005654804,0.00870317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005161557,"threshold_uncertainty_score":0.01726711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005989700508079318,"score_gpt":0.1800588318972347,"score_spread":0.1740691313891554,"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."}}