{"id":"W2800388152","doi":"10.2118/190087-ms","title":"Unsupervised Statistical Learning with Integrated Pattern-Based Geostatistical Simulation","year":2018,"lang":"en","type":"article","venue":"SPE Western Regional Meeting","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"China National Offshore Oil Corporation; University of Calgary","keywords":"Computer science; Unsupervised learning; Artificial intelligence; Artificial neural network; Machine learning; Cluster analysis; Self-organizing map; Dimensionality reduction; Supervised learning; Competitive learning; Restricted Boltzmann machine; Subspace topology; Data mining","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0009244534,0.0003725869,0.0005697509,0.0006182398,0.000296251,0.0006395034,0.000950428,0.000612357,0.0008949545],"category_scores_gemma":[0.00332167,0.0003271327,0.000694846,0.0005149517,0.0006858874,0.0007564703,0.0008874278,0.0006349682,0.000136904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006526632,"about_ca_system_score_gemma":0.0008597297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00379362,"about_ca_topic_score_gemma":0.002507907,"domain_scores_codex":[0.9996089,0.0001799987,0.00002131272,0.00006433127,0.0001058651,0.00001963477],"domain_scores_gemma":[0.9984844,0.0009815897,0.0001664454,0.0001539458,0.0001746278,0.00003900571],"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":[0.00001011499,0.0000116262,0.0004436719,0.000008734144,0.00001377829,0.00001245489,0.00001681448,0.987015,0.0004546891,0.004953248,0.00007249556,0.006987372],"study_design_scores_gemma":[5.678145e-7,0.000001931572,0.00002060538,4.396535e-7,3.647005e-7,0.000001450654,6.788874e-7,0.9990742,0.00006156883,0.000803328,0.00003425913,5.958084e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02577252,0.00002685032,0.9730671,0.00006449613,0.000008059437,0.00002570894,0.00002577692,0.0002947054,0.0007148166],"genre_scores_gemma":[0.6827369,0.00006716188,0.3157424,0.00004698628,0.00002106206,0.0001768348,0.0001298105,0.00009243932,0.0009862968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00379362,"threshold_uncertainty_score":0.007543087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037082531980803,"score_gpt":0.2616304980678749,"score_spread":0.2412596727480668,"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."}}