{"id":"W2079834379","doi":"10.2118/119287-ms","title":"Probabilistic Well Time Estimation Revisited","year":2009,"lang":"en","type":"article","venue":"","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Weibull distribution; Duration (music); Probabilistic logic; Publication; Computer science; Probability density function; Estimation; Software; Statistics; Engineering; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005317087,0.00007960397,0.00008059169,0.00004230259,0.00001463822,0.00002161421,0.00004715392,0.00003293505,0.000170413],"category_scores_gemma":[0.00001625977,0.00007567127,0.00002183426,0.0001121825,0.000003206488,0.00006395073,0.000002217944,0.00005517698,0.0008818121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002377318,"about_ca_system_score_gemma":0.000001825669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.896256e-7,"about_ca_topic_score_gemma":4.982355e-8,"domain_scores_codex":[0.9996395,0.00000265004,0.0001047991,0.00007201483,0.00005769659,0.0001233025],"domain_scores_gemma":[0.999814,0.00001425715,0.000005201699,0.0001165456,0.00001048136,0.00003956793],"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":[4.762858e-7,0.000004207787,0.000001516644,0.00002300995,0.000003289949,0.000001065537,0.00001340104,0.9845549,0.001428878,0.0007835047,0.002907871,0.01027784],"study_design_scores_gemma":[0.00005995569,0.00001315102,0.0001799129,0.0000272468,0.000005284211,0.000002907723,5.211716e-7,0.9949138,0.001131899,0.0006907888,0.002871485,0.0001030627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0322783,0.0003314752,0.5622566,0.0001478055,0.0002114224,0.0002803858,0.00000204941,0.004684295,0.3998077],"genre_scores_gemma":[0.991319,0.00001046359,0.007183558,0.00003876186,0.00005065259,0.000001849035,0.00001294586,0.00001404634,0.001368706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9590407,"threshold_uncertainty_score":0.9998961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003329992369311661,"score_gpt":0.1759823940664091,"score_spread":0.1726524016970974,"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."}}