{"id":"W2067415317","doi":"10.2118/05-12-02","title":"Modelling of Sucker Rod String","year":2005,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Sucker rod; Troubleshooting; Computer science; Matrix (chemical analysis); Lift (data mining); Control engineering; Software; Control theory (sociology); Displacement (psychology); String (physics); Engineering; Mechanical engineering; Control (management); Mathematics; Artificial intelligence","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":[0.0002056242,0.0005053532,0.0004519995,0.0006147643,0.000284551,0.0008910173,0.000920703,0.001120939,0.003805481],"category_scores_gemma":[0.0004106449,0.0001806407,0.000539795,0.0003325862,0.0004564603,0.0006307552,0.0004256879,0.0004139724,0.0007047273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003932358,"about_ca_system_score_gemma":0.0003766655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002014829,"about_ca_topic_score_gemma":0.0009733471,"domain_scores_codex":[0.999764,0.00005196683,0.00001297728,0.00005282124,0.00009700214,0.00002117864],"domain_scores_gemma":[0.9998593,0.00004538493,0.00003118535,0.00002093447,0.00003258697,0.00001056841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006864801,0.00005608447,0.001085368,0.0002093785,0.0000298656,0.0006781975,0.0001779216,0.8946256,0.06175261,0.01302599,0.0004401769,0.02785017],"study_design_scores_gemma":[0.000003406009,0.00006111725,0.0002378708,0.000008675084,0.000004945988,0.00006859707,0.00001649726,0.9948221,0.002777629,0.00062736,0.001364997,0.000006733455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09837192,0.0004766562,0.8809334,0.0001111409,0.00007203735,0.00008672326,0.0001583212,0.001374866,0.0184149],"genre_scores_gemma":[0.9421257,0.0003930007,0.04397858,0.0000227759,0.00001696619,0.0001152611,0.000145845,0.00005595382,0.01314589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003805481,"threshold_uncertainty_score":0.0127306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058124616562251,"score_gpt":0.1871016192625865,"score_spread":0.176520373096964,"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."}}