{"id":"W2900563717","doi":"10.1039/c8nr06937a","title":"Nanomodel visualization of fluid injections in tight formations","year":2018,"lang":"en","type":"article","venue":"Nanoscale","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Alberta Hospital Edmonton; Toronto Public Health","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Visualization; Petroleum engineering; Oil spill; Computer science; Tight gas; Nanotechnology; Materials science; Geology; Artificial intelligence; Hydraulic fracturing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005641699,0.00006030166,0.00008404622,0.0001702352,0.00002566121,0.000005805367,0.0000645338,0.00007075607,0.00005797383],"category_scores_gemma":[0.00002018644,0.00006548801,0.00002315055,0.0003516305,0.00002948149,0.0002207716,0.00001222184,0.00004069024,0.00002659806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005914272,"about_ca_system_score_gemma":0.00001111819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001807819,"about_ca_topic_score_gemma":0.0001924075,"domain_scores_codex":[0.9995592,0.000009377792,0.0001927043,0.00006257171,0.00007203573,0.0001041006],"domain_scores_gemma":[0.9997663,0.00001642054,0.00001992107,0.0001246859,0.00005487125,0.00001781355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000115232,0.0001203671,0.003607968,0.0001337731,0.00001937201,4.980737e-7,0.001969771,0.005538741,0.9572408,0.009148851,0.01188939,0.01031898],"study_design_scores_gemma":[0.0001234738,0.00006172003,0.00208386,0.00005354867,0.000003497134,0.000001436834,0.00001898907,0.06359616,0.9284283,0.001460674,0.004067674,0.0001006515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6563355,0.00006874462,0.28779,0.00001184832,0.0002909283,0.0001594428,0.00001346188,0.0004411258,0.05488893],"genre_scores_gemma":[0.996325,0.00005017926,0.003334534,0.00001313181,0.0000315874,0.00002851023,0.000009262772,0.00001529548,0.0001925392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3399894,"threshold_uncertainty_score":0.2670524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008712446910741052,"score_gpt":0.2517689092667464,"score_spread":0.2430564623560053,"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."}}