{"id":"W2362735951","doi":"","title":"Based on GA and ANN Random Plan Model for Reservor Parameter Predication","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bottleneck; Computer science; Artificial neural network; Plan (archaeology); Genetic algorithm; Artificial intelligence; Mathematical optimization; Algorithm; Machine learning; Mathematics; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001622908,0.000127756,0.0001283822,0.0001073504,0.00007641318,0.00004793089,0.0001327105,0.00007516967,0.000004610767],"category_scores_gemma":[0.000002976796,0.0001294673,0.00004661776,0.00009662488,0.00001499401,0.00007155392,0.00001265684,0.00009065827,0.000009311308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003152097,"about_ca_system_score_gemma":0.000007902845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.100107e-7,"about_ca_topic_score_gemma":9.887862e-7,"domain_scores_codex":[0.9993488,0.00001357002,0.0001987188,0.0002036618,0.00007470812,0.0001605937],"domain_scores_gemma":[0.9993324,0.0002750863,0.00002076815,0.0002575358,0.00003735896,0.00007679665],"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":[0.00001797962,0.00002021089,0.00002275442,0.00004543244,0.000009295577,2.256297e-8,0.00006836455,0.9663707,0.0006279352,0.00009706352,0.002093654,0.03062656],"study_design_scores_gemma":[0.001016295,0.00001093573,0.0001352579,0.00001049339,0.000009259837,6.681827e-7,0.000001002503,0.8975959,0.001202551,0.0002517966,0.09964398,0.0001219012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01061767,0.0001032822,0.9875731,0.0003335125,0.00001008633,0.0007873359,0.00004427672,0.0003124152,0.000218291],"genre_scores_gemma":[0.2307834,0.00001225296,0.7677036,0.0001524785,0.0001604238,0.0009601093,0.00008805047,0.00003148093,0.0001082299],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2201657,"threshold_uncertainty_score":0.5279524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02077880619971205,"score_gpt":0.2649585900913042,"score_spread":0.2441797838915921,"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."}}