{"id":"W4254181990","doi":"10.2523/91593-ms","title":"Underbalanced Drilling in Canada: Tracking the Long-Term Performance of Underbalanced Drilling Projects in Canada","year":2004,"lang":"en","type":"article","venue":"","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Underbalanced drilling; Drilling; Term (time); Computer science; Engineering; Mechanical engineering; Drilling fluid","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001254846,0.0004268475,0.0004567794,0.003346102,0.002965461,0.00239603,0.001834768,0.0005089176,0.0007428748],"category_scores_gemma":[0.004964049,0.0003204336,0.0003078478,0.007756604,0.001655117,0.0007974462,0.001900681,0.0005914766,0.0001746985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0512381,"about_ca_system_score_gemma":0.05279102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940379,"about_ca_topic_score_gemma":0.998168,"domain_scores_codex":[0.9976023,0.000157441,0.0001136037,0.0002425363,0.001215932,0.0006682788],"domain_scores_gemma":[0.9903221,0.000556614,0.001479458,0.0002535267,0.006289801,0.001098542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001465506,0.00007603149,0.9459947,0.0001481854,0.0001118975,0.0007297781,0.008277576,0.002540473,0.001734179,0.00136295,0.002099094,0.03677853],"study_design_scores_gemma":[0.000002165552,0.00004687638,0.9830188,0.0000520981,0.00002176342,0.0000913882,0.009524963,0.002032718,0.0004491017,0.00009712575,0.004629876,0.00003325494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950278,0.0004388292,0.0003415594,0.0002092514,0.000004160353,0.00004088748,0.001728678,0.00001895576,0.002189951],"genre_scores_gemma":[0.9954181,0.0006712567,0.0006030687,0.00004035514,0.000001656386,0.00002191637,0.001218921,0.000009625804,0.002015137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0512381,"threshold_uncertainty_score":0.3717602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00912578418209309,"score_gpt":0.1696810521595693,"score_spread":0.1605552679774762,"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."}}