{"id":"W2607981028","doi":"10.3968/9415","title":"Experimental study on loss-prevention performance of oil-based drilling fluids","year":2017,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lost circulation; Drilling fluid; Petroleum engineering; Drilling; Rheology; Wellbore; Filtration (mathematics); Materials science; Mechanical engineering; Engineering; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001453507,0.000130592,0.000149582,0.0001173344,0.0001224508,0.00003548286,0.00009310021,0.00002798956,0.000005262536],"category_scores_gemma":[0.000008806653,0.0001332607,0.00001403753,0.00003414471,0.00002293021,0.0005641438,0.00001797461,0.00007399707,0.00000580896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005810969,"about_ca_system_score_gemma":0.00001475538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.799676e-7,"about_ca_topic_score_gemma":0.000005771241,"domain_scores_codex":[0.9992899,0.000008667146,0.0002635015,0.0001478889,0.0001592194,0.0001307681],"domain_scores_gemma":[0.9997115,0.00001427695,0.0000520607,0.0001740557,0.000015169,0.00003301211],"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":[0.00003246393,0.000129674,0.007611007,0.00006934376,0.000008608245,0.000002282721,0.0008068106,0.9580353,0.001021962,0.00002821262,0.000001367738,0.032253],"study_design_scores_gemma":[0.002076945,0.0004325346,0.006163255,0.0004044693,0.000004313103,8.216184e-7,0.0009982605,0.7686141,0.2173208,0.00001604947,0.003592487,0.0003759844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467255,0.0007177739,0.05084174,0.000009505379,0.000400537,0.0000653152,5.250589e-7,0.00007475438,0.001164341],"genre_scores_gemma":[0.9972484,0.0004304882,0.002157639,0.000004438952,0.00002361737,0.00006361667,0.000006368057,0.00001579604,0.00004971133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2162989,"threshold_uncertainty_score":0.5434213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02079875249838292,"score_gpt":0.270525921369563,"score_spread":0.2497271688711801,"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."}}