{"id":"W2141006816","doi":"10.1109/08ias.2008.128","title":"Dynamic Induction Charging of Particles with Finite Conductivity","year":2008,"lang":"en","type":"article","venue":"","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Constant (computer programming); Permittivity; Conductivity; Finite element method; Relaxation (psychology); Thermal conduction; Time constant; Electrode; Materials science; Mechanics; Particle (ecology); Transient (computer programming); Dielectric; Condensed matter physics; Physics; Composite material; Electrical engineering; Thermodynamics; Computer science; Engineering; Optoelectronics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003116938,0.0001382136,0.0003002563,0.0002210552,0.0002145855,0.0005111383,0.0003520419,0.0002842257,0.0006829138],"category_scores_gemma":[0.001229426,0.0001237847,0.0002378849,0.0002647758,0.0004227015,0.0005708808,0.0003475147,0.0003079641,0.0001675283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005375916,"about_ca_system_score_gemma":0.0002024761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005800798,"about_ca_topic_score_gemma":0.0003934212,"domain_scores_codex":[0.9997821,0.00002224225,0.00001018181,0.00003243966,0.0001085191,0.00004447265],"domain_scores_gemma":[0.9994855,0.0002777463,0.00005840948,0.00008401818,0.00007231024,0.00002202305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004536444,0.00008925665,0.002117432,0.0002287331,0.00002238943,0.0006921517,0.0003042064,0.04347814,0.9141081,0.007767121,0.0002411288,0.03049773],"study_design_scores_gemma":[0.00003254161,0.0003690004,0.001977772,0.00001017476,0.00001710421,0.000452113,0.0001074682,0.1548789,0.837302,0.001890152,0.002941142,0.0000217067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8726522,0.0005153228,0.122351,0.00009496898,0.00005043226,0.00004532326,0.0000534465,0.0002161467,0.004021096],"genre_scores_gemma":[0.9927652,0.0001353607,0.005989767,0.00001485214,0.000003801192,0.00001067327,0.00003400292,0.00001135974,0.001035099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006829138,"threshold_uncertainty_score":0.003900528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016852364318284,"score_gpt":0.2261595871035262,"score_spread":0.2059910634603434,"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."}}