{"id":"W2079949445","doi":"10.2118/95729-ms","title":"New High-Performance Completion Packer Selection and Deployment for Holstein and Mad Dog Deepwater Gulf of Mexico Projects","year":2005,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"BP (Canada)","funders":"","keywords":"Wireline; Completion (oil and gas wells); Software deployment; Engineering; Flexibility (engineering); Deepwater drilling; Petroleum engineering; Casing; Deep water; Production (economics); Marine engineering; Drilling; Mechanical engineering; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001163851,0.0002586468,0.0001126051,0.0005386295,0.0007970735,0.0004323874,0.0005244684,0.0003287591,0.003945452],"category_scores_gemma":[0.0007013615,0.0001815378,0.0001351213,0.0002139977,0.0001892282,0.0004912529,0.0005521754,0.0004648363,0.0005049466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009095299,"about_ca_system_score_gemma":0.00126402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01679922,"about_ca_topic_score_gemma":0.06058709,"domain_scores_codex":[0.9996204,0.00004600514,0.0000129837,0.00004883864,0.0001960236,0.00007567191],"domain_scores_gemma":[0.9994198,0.00003710404,0.00004708227,0.00005507678,0.0002786803,0.0001623565],"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":[0.001257206,0.001614194,0.09539217,0.0002192505,0.0000323101,0.001496573,0.002966203,0.01750215,0.2307069,0.001941847,0.0285657,0.6183055],"study_design_scores_gemma":[0.0006035083,0.01052957,0.5345868,0.0001592794,0.00005008408,0.0007382466,0.004748208,0.03654489,0.09358902,0.0005006008,0.3178329,0.0001169301],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481889,0.0001124014,0.03189251,0.0004507703,0.00004327096,0.0007085569,0.0004050004,0.001985125,0.01621351],"genre_scores_gemma":[0.8705278,0.0002562569,0.08797275,0.00007771973,0.0000243801,0.000348309,0.001943029,0.0001985383,0.03865124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01679922,"threshold_uncertainty_score":0.03340286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408967596240649,"score_gpt":0.2290050816376766,"score_spread":0.2149154056752701,"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."}}