{"id":"W7099610112","doi":"","title":"Determination of porosity and permeability in reservoir intervals by artificial neural network modelling, oVshore eastern Canada","year":2016,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permeability (electromagnetism); Porosity; Artificial neural network; Effective porosity; Reservoir engineering; Petroleum reservoir; Structural basin","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002608491,0.0002399576,0.0001523222,0.0006446181,0.0005079858,0.0008623353,0.0006172624,0.0002659119,0.0005441984],"category_scores_gemma":[0.0007311472,0.0001904785,0.0002026074,0.001092728,0.0003583637,0.0003250278,0.0002654798,0.0002725784,0.00009604204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006403126,"about_ca_system_score_gemma":0.005904451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8871416,"about_ca_topic_score_gemma":0.900623,"domain_scores_codex":[0.9998872,0.000009084928,0.000006795277,0.00002609949,0.0000475513,0.00002317439],"domain_scores_gemma":[0.999742,0.00005589915,0.00002941094,0.00001097592,0.0001395476,0.00002213953],"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":[0.0002374902,0.0001117932,0.2012477,0.00009902752,0.00005533179,0.0002857566,0.0002535178,0.7195914,0.007310968,0.001131315,0.0008100275,0.06886557],"study_design_scores_gemma":[0.000005461995,0.0000112609,0.05644811,0.00001051418,0.000009267696,0.00002293742,0.000129084,0.9395048,0.003051973,0.0003122524,0.0004803431,0.00001401823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830892,0.0002003546,0.01346386,0.00008640761,0.000005356134,0.000019724,0.0005021601,0.0001217933,0.002511069],"genre_scores_gemma":[0.9965696,0.00005870196,0.002434654,0.000002820259,5.717018e-7,0.000004413135,0.0001630036,0.000004615114,0.0007614901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1128584,"threshold_uncertainty_score":0.227046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02456435037690157,"score_gpt":0.2251982030460508,"score_spread":0.2006338526691492,"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."}}