{"id":"W4392726836","doi":"10.2118/218078-ms","title":"A Quick Decline Method for Forecasting Multiple Wells Using Sparse Functional Principal Component Analysis","year":2024,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Principal component analysis; Component (thermodynamics); Computer science; Component analysis; Econometrics; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009802389,0.001277143,0.0008120613,0.001757768,0.0005303293,0.000831213,0.001046143,0.0008290175,0.001777271],"category_scores_gemma":[0.002294902,0.0004844218,0.001141822,0.0011981,0.000321058,0.001037728,0.0005591505,0.001493988,0.0004468603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005536336,"about_ca_system_score_gemma":0.001293867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02030109,"about_ca_topic_score_gemma":0.01394122,"domain_scores_codex":[0.9996268,0.00007933781,0.00002667539,0.00009929074,0.0001258067,0.0000421071],"domain_scores_gemma":[0.9993404,0.0002691672,0.0000660589,0.00004360393,0.0002473766,0.00003332457],"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":[0.0001602732,0.0001111586,0.004439312,0.00009470217,0.00008465877,0.0001178587,0.00009761501,0.7812055,0.007817636,0.003228403,0.002063586,0.2005791],"study_design_scores_gemma":[0.000001896589,0.000007554683,0.0002970891,0.000001912387,0.000003047295,0.00000414032,0.000003809998,0.9988979,0.0003205405,0.0002754121,0.0001827142,0.000003885974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04306509,0.000286906,0.9539764,0.0001425646,0.00007021579,0.0001050585,0.0002761064,0.001032413,0.001045214],"genre_scores_gemma":[0.6567757,0.0003553985,0.338627,0.0000862605,0.00009427113,0.0002663645,0.001107719,0.0001611512,0.002526215],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02030109,"threshold_uncertainty_score":0.04036587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011167224734608,"score_gpt":0.3379861946832856,"score_spread":0.2368694722098248,"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."}}