{"id":"W2921344349","doi":"10.2118/194237-ms","title":"Case Study: Optimizing Milling Operations within the Canadian Montney Play","year":2019,"lang":"en","type":"article","venue":"SPE/ICoTA Well Intervention Conference and Exhibition","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wireline; Geology; Petroleum engineering; Reducer; Casing; Oil shale; Natural gas; Engineering; Paleontology; Mechanical engineering; Waste management","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":[0.0003226852,0.0001793535,0.0001543986,0.0001477416,0.0002668648,0.0003367182,0.00009239831,0.00008210072,0.0002115916],"category_scores_gemma":[0.00001022931,0.0001575454,0.00006961572,0.000124882,0.00002484048,0.0002809003,0.00002186515,0.0002741121,0.0001253373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008868863,"about_ca_system_score_gemma":0.00002888212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04038719,"about_ca_topic_score_gemma":0.1582061,"domain_scores_codex":[0.9990732,0.00004109973,0.0003141209,0.000222282,0.0001171385,0.0002321306],"domain_scores_gemma":[0.9995381,0.00002300365,0.00002804335,0.0002181735,0.00006942126,0.0001232341],"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":[0.000004149658,0.0000365784,0.000678466,0.00008538768,0.00007431134,0.0001319795,0.003006537,0.9908546,0.001257945,0.001558649,0.0001662872,0.002145174],"study_design_scores_gemma":[0.000504914,0.0001199047,0.0001388897,0.0002368344,0.00003894053,0.0003139192,0.005700883,0.9908745,0.00132522,0.000092035,0.0003923649,0.0002615766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726683,0.0001563754,0.02165182,0.00009134043,0.0007693789,0.0004460982,0.00001143576,0.0001594034,0.004045865],"genre_scores_gemma":[0.9989799,0.00003356142,0.0004019173,0.00002917271,0.00008243843,0.00003109792,0.00003364835,0.00002796574,0.0003802459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1178189,"threshold_uncertainty_score":0.9660029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01995531967938351,"score_gpt":0.2309346992942699,"score_spread":0.2109793796148864,"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."}}