{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001138977,0.0005050173,0.0003642394,0.001128567,0.0004099194,0.001086846,0.0004745283,0.0005100403,0.001587084],"category_scores_gemma":[0.001560096,0.0003410366,0.0003426609,0.0006154727,0.0004115426,0.001276279,0.001103647,0.0007521893,0.0009674503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002864245,"about_ca_system_score_gemma":0.0007719947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009007195,"about_ca_topic_score_gemma":0.003161407,"domain_scores_codex":[0.998983,0.00008786664,0.0000842956,0.0002286433,0.0005440388,0.00007219254],"domain_scores_gemma":[0.9990907,0.0002093094,0.0001482799,0.0001495839,0.0003633271,0.00003875293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001329673,0.00003122542,0.002509692,0.000225477,0.00001580807,0.0002145141,0.0002166215,0.001041955,0.8318604,0.00120303,0.001894551,0.1606538],"study_design_scores_gemma":[0.00001411813,0.000270582,0.008612831,0.00005347435,0.00003084989,0.0009704055,0.0001986662,0.01096553,0.9151775,0.00110021,0.06254269,0.00006311457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1006081,0.001706994,0.8871407,0.0004992724,0.0005032015,0.0005062331,0.0008656495,0.002282722,0.005887245],"genre_scores_gemma":[0.2844391,0.001937615,0.7042547,0.0002418795,0.0001808407,0.0003232148,0.0009268745,0.0007061434,0.006989581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001587084,"threshold_uncertainty_score":0.006023526,"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."}}