{"id":"W3047324036","doi":"10.2118/0820-0051-jpt","title":"Formation-Fluid Microsampling While Drilling Enables Complete Reservoir Characterization","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drilling fluid; Formation evaluation; Wireline; Petroleum engineering; Reservoir modeling; Drilling; Geology; Reservoir engineering; Petroleum; Computer science; Engineering","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":[0.0001730438,0.0001516149,0.0003809009,0.0004864899,0.0001007662,0.00005298272,0.0003775501,0.000176518,0.00004548351],"category_scores_gemma":[0.0001046398,0.0001345758,0.0001384837,0.0004623313,0.00004142521,0.0003271521,0.00005198423,0.0004839775,0.00002959963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007483896,"about_ca_system_score_gemma":0.00001972615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001827225,"about_ca_topic_score_gemma":0.000002804684,"domain_scores_codex":[0.9987879,0.00002068306,0.0006212763,0.0001076469,0.0002003042,0.0002621298],"domain_scores_gemma":[0.9993232,0.00003389488,0.0002337846,0.0001644875,0.0001423983,0.0001022704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001619997,0.00001153641,0.0003089607,0.0001005298,0.0001142033,0.00002776839,0.0002214178,0.4389844,0.5586563,0.00002558389,0.0005130894,0.001019994],"study_design_scores_gemma":[0.0008569117,0.0002273211,0.0004372327,0.0001764727,0.0001107677,0.0002257643,0.0005782862,0.625995,0.1556613,0.0002058356,0.2151716,0.0003534178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6932845,0.0005894115,0.2996112,0.00587789,0.0001831281,0.00003510456,0.00001203928,0.0002342223,0.0001725272],"genre_scores_gemma":[0.9968221,0.0004483394,0.00222292,0.0001208153,0.0003152901,0.000002313845,0.00001938179,0.00002917665,0.00001966654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.402995,"threshold_uncertainty_score":0.5487843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687801373318857,"score_gpt":0.2065150209688209,"score_spread":0.1896370072356323,"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."}}