{"id":"W2056050917","doi":"10.1149/05801.0079ecst","title":"Introducing OpenPNM: An Open Source Pore Network Modeling Software Package","year":2013,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University; Automotive Fuel Cell Cooperation (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Python (programming language); Open source; Computer science; Flexibility (engineering); Network topology; Graphical user interface; Open source software; Curse of dimensionality; Software; Software package; Percolation (cognitive psychology); Variety (cybernetics); R package; Distributed computing; Percolation theory; Computational science; Topology (electrical circuits); Operating system; Artificial intelligence; Engineering","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":[0.000157994,0.0002040849,0.0002185375,0.00006872044,0.0002351725,0.0002845752,0.0004916589,0.0001245163,0.0008738998],"category_scores_gemma":[0.00001099533,0.0002248082,0.00005727277,0.0002540175,0.0000176698,0.001479478,0.0000204844,0.0003857193,0.0001094847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009385423,"about_ca_system_score_gemma":0.00002147663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003218595,"about_ca_topic_score_gemma":0.000224056,"domain_scores_codex":[0.998893,0.00003145096,0.0002651575,0.0002947268,0.0001187287,0.0003969942],"domain_scores_gemma":[0.9992162,0.00004087478,0.0000227516,0.0005212435,0.0000591132,0.0001398311],"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":[0.000002201782,0.00002063309,0.00001210056,0.00001831304,0.00002933983,0.000001128999,0.000260597,0.9575781,0.002685736,0.00001293092,0.001694846,0.03768411],"study_design_scores_gemma":[0.0002813557,0.00008603735,0.00006279633,0.0001380051,0.00004610798,0.00002292634,0.0002326621,0.9735159,0.0143115,0.004327042,0.006314313,0.0006613496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02817456,0.000111145,0.9658643,0.00007156947,0.0003100176,0.0004722248,0.0000103693,0.001672242,0.003313562],"genre_scores_gemma":[0.8159602,0.0001024952,0.1823929,0.00008419485,0.0002207407,0.000294415,0.0000334672,0.0001279851,0.0007836266],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7877856,"threshold_uncertainty_score":0.956859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373680728405258,"score_gpt":0.2356662259539796,"score_spread":0.221929418669927,"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."}}