{"id":"W4242178602","doi":"10.22215/etd/2014-10379","title":"The Drift Diffusion Simulation of Coupled Ionic -Electronic Devices","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Electrolyte; PEDOT:PSS; Materials science; Ionic bonding; Diffusion; Ionic conductivity; Ion; Poisson's equation; Solver; Polystyrene sulfonate; Lithium (medication); Memristor; Chemical physics; Molecular dynamics; Electronic engineering; Polymer; Electrode; Thermodynamics; Chemistry; Physical chemistry; Computer science; Composite material; Physics; Computational chemistry; Engineering; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001006434,0.0001615744,0.0001798538,0.00004084231,0.0001370502,0.00001576271,0.0001388475,0.0001160349,0.00002125442],"category_scores_gemma":[0.00003122572,0.0001147703,0.00006859399,0.00009681551,0.000008134862,0.00005059752,0.000008096168,0.0002420254,0.00000897449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003174035,"about_ca_system_score_gemma":0.00001643335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003056666,"about_ca_topic_score_gemma":0.0002919176,"domain_scores_codex":[0.9992495,0.00001730209,0.0002677759,0.0001223126,0.0001349856,0.0002081233],"domain_scores_gemma":[0.9993064,0.0003451797,0.0001072828,0.0001675013,0.0000528149,0.00002084762],"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":[0.00003172778,0.000005159638,0.00001056242,0.000223354,0.000027114,1.882819e-7,0.00009834259,0.9612253,0.02164877,0.0009762691,0.00001373734,0.01573944],"study_design_scores_gemma":[0.0001592155,0.00004109148,0.000605431,0.0001090444,0.00003060906,3.319352e-7,0.0001110017,0.9730909,0.02197044,0.000687357,0.003008021,0.0001865425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848579,0.001161032,0.01003964,0.000005101011,0.0005819471,0.0001994813,4.117674e-7,0.0002040311,0.002950434],"genre_scores_gemma":[0.9979528,0.0002160889,0.00002668536,0.000008268416,0.00008974528,0.00000543369,0.00009567173,0.00003337874,0.001571925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0155529,"threshold_uncertainty_score":0.4680195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0060975167555127,"score_gpt":0.248181350964565,"score_spread":0.2420838342090523,"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."}}