{"id":"W4404014098","doi":"10.2118/222483-ms","title":"Auto-Fill: A Synergistic Approach for Surveillance and Fillbase Management of Rod Pumps Using Advanced Machine Learning Models","year":2024,"lang":"en","type":"article","venue":"","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Imperial Oil (Canada)","funders":"","keywords":"Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001781349,0.0001200933,0.0001528008,0.00008849952,0.00003695385,0.00002569609,0.00004812131,0.00003256244,0.000009053053],"category_scores_gemma":[0.000006653866,0.0001081088,0.00003799568,0.000140856,0.00001934995,0.000127808,0.00002974491,0.00008443079,3.307326e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002642591,"about_ca_system_score_gemma":0.000003418667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000222576,"about_ca_topic_score_gemma":0.000001244228,"domain_scores_codex":[0.999381,0.00001051472,0.0001711358,0.0002174117,0.00007617849,0.0001437372],"domain_scores_gemma":[0.9997889,0.00002426464,0.00001547404,0.0001185139,0.00002339208,0.00002945965],"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":[0.00001302766,0.00001607185,0.00002205555,0.002873465,0.00009566527,0.000003172056,0.00007456826,0.8736769,0.003011397,0.004020701,0.0001062313,0.1160868],"study_design_scores_gemma":[0.0001154182,0.00002501963,0.00001331812,0.00006608009,0.00001840764,0.000005073231,0.00004022548,0.9901042,0.007764791,0.0009572821,0.0007593461,0.0001308136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02346499,0.003491411,0.9669465,0.00003265931,0.0001332424,0.0002993063,0.00002469532,0.001150773,0.004456464],"genre_scores_gemma":[0.8536818,0.0004116615,0.1448923,0.00000350867,0.00002362026,0.00004224941,0.00001943689,0.00003268537,0.0008926958],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8302168,"threshold_uncertainty_score":0.440855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02214774717188455,"score_gpt":0.2379260573799061,"score_spread":0.2157783102080215,"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."}}