{"id":"W2000407569","doi":"10.2523/iptc-17983-ms","title":"Automated Racking-Board Pipe-Handling System Eliminates Hazards of Tripping Operations, Reduces Rig Personnel, and Creates Consistent Tripping Speeds in Line with Best Rig Crew Performance","year":2014,"lang":"en","type":"article","venue":"International Petroleum Technology Conference","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tripping; Crew; Marine engineering; Drill pipe; Drilling rig; Engineering; On board; Drill; Line (geometry); Automotive engineering; Climb; Computer science; Aeronautics; Drilling; Mechanical engineering","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":[0.0003259321,0.0002503459,0.0004102506,0.0008971097,0.0001102302,0.00008377214,0.0003149995,0.0001981809,0.00001503491],"category_scores_gemma":[0.0001356244,0.0002295409,0.00003409752,0.0002941182,0.0002546365,0.0002798346,0.00006882838,0.0003395164,0.000005035308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001337628,"about_ca_system_score_gemma":0.00004867903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009625377,"about_ca_topic_score_gemma":0.00006844728,"domain_scores_codex":[0.9986295,0.00003274914,0.0005214582,0.0003533211,0.0002160452,0.0002469847],"domain_scores_gemma":[0.9992029,0.00005873995,0.0001228156,0.0002124979,0.0003626184,0.0000404264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006916409,0.0007029139,0.08723059,0.003368189,0.001510893,0.00009642377,0.003854878,0.1631364,0.4527632,0.03359507,0.0001855637,0.2528642],"study_design_scores_gemma":[0.00077207,0.0003117335,0.001437201,0.001381451,0.00003676506,0.0001201394,0.00146788,0.6519141,0.3420492,0.00006499149,0.0001692621,0.0002751533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925102,0.0004836694,0.003242131,0.0008526199,0.0002473518,0.0001421535,0.00001103824,0.001291578,0.001219285],"genre_scores_gemma":[0.995037,0.0004928829,0.004194616,0.00001083186,0.0000508738,0.00006286708,0.00001551916,0.00002504656,0.0001104297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4887778,"threshold_uncertainty_score":0.9360406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00960753908367792,"score_gpt":0.2243294275961706,"score_spread":0.2147218885124927,"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."}}