{"id":"W2584280713","doi":"10.2118/0716-0075-jpt","title":"A Flexible “Well-Factory” Approach to Developing Unconventionals","year":2016,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Factory (object-oriented programming); Flexibility (engineering); Supply chain; Resource (disambiguation); Computer science; Manufacturing engineering; Business; Engineering; Economics; Management; Marketing","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":[0.0004072345,0.0001273859,0.0002795932,0.0008723871,0.00002564933,0.00001365022,0.0003028415,0.0001541622,0.00003657096],"category_scores_gemma":[0.000172591,0.00009040278,0.00008946517,0.0003717004,0.00002446959,0.000123152,0.00003414711,0.0001972209,0.00004296776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001621025,"about_ca_system_score_gemma":0.00003806042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.758953e-7,"about_ca_topic_score_gemma":1.769409e-7,"domain_scores_codex":[0.9990182,0.00002121665,0.0004354208,0.00009823636,0.0001898906,0.0002370567],"domain_scores_gemma":[0.9994541,0.00007756676,0.00008253583,0.0001811872,0.0001198851,0.00008469741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002648005,0.0000377775,0.003172609,0.00007711152,0.0001852839,0.00001495881,0.00004388679,0.913919,0.05146163,0.01173545,0.002987713,0.01633812],"study_design_scores_gemma":[0.006071769,0.000687546,0.009569799,0.000903462,0.00008885065,0.0009864076,0.0003132241,0.04577255,0.2495034,0.02716249,0.6574443,0.001496214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2483355,0.0002383183,0.7485324,0.0007400344,0.0003385123,0.00002961813,0.000001219839,0.0002039523,0.001580411],"genre_scores_gemma":[0.8318698,0.00005714915,0.1673422,0.00002157022,0.0001257535,0.000005791296,2.632905e-7,0.00002713311,0.0005502678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8681464,"threshold_uncertainty_score":0.3686519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01980804892297436,"score_gpt":0.2673649685810982,"score_spread":0.2475569196581238,"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."}}