{"id":"W2342363262","doi":"10.22078/jpst.2016.566","title":"Sensitivity Analysis of the Effect of Pore Structure and Geometry on Petrophysical and Electrical Properties of Tight Media: Random Network Modeling","year":2016,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Petrophysics; Sensitivity (control systems); Geometry; Geology; Materials science; Mathematics; Geotechnical engineering; Engineering; Porosity; Electronic engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002452657,0.0007947391,0.0006544071,0.001081843,0.0003436025,0.0007859085,0.0007833891,0.001108002,0.00102642],"category_scores_gemma":[0.008379629,0.0003935625,0.0009841073,0.0006362949,0.0007476007,0.001174941,0.0009028938,0.0006567417,0.00009887391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083742,"about_ca_system_score_gemma":0.0005070447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007498939,"about_ca_topic_score_gemma":0.002741778,"domain_scores_codex":[0.9992107,0.000364634,0.00003026532,0.0001401647,0.000151082,0.0001031909],"domain_scores_gemma":[0.9923742,0.006420758,0.00047687,0.000348618,0.0003158068,0.00006365334],"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":[0.00002383821,0.00001247085,0.0007069931,0.0000207191,0.00001581574,0.00004890519,0.000009076934,0.9956624,0.00131756,0.0009886638,0.00003868365,0.001154825],"study_design_scores_gemma":[0.000001964562,0.00001896276,0.0003896657,0.000003480727,0.000007637458,0.00001715417,0.000007078357,0.9975581,0.001052892,0.0008623036,0.00007363672,0.000007103432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5777485,0.000656904,0.4131611,0.0005005265,0.00003843844,0.0001805425,0.0007035852,0.0003523361,0.006658071],"genre_scores_gemma":[0.9895836,0.000164863,0.009395231,0.00002873449,0.000006020963,0.00005297737,0.0001317406,0.00002220999,0.0006147336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007498939,"threshold_uncertainty_score":0.01491058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04581616849002866,"score_gpt":0.3926561843316418,"score_spread":0.3468400158416131,"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."}}