{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009785539,0.00005205429,0.00006759656,0.00002075132,0.00005861375,0.000003454377,0.00005922852,0.00001692081,0.000234039],"category_scores_gemma":[0.000007907109,0.00003803588,0.00001464102,0.0001297035,0.0001532591,0.0001649537,0.00004312318,0.00004048686,0.00003221734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002193877,"about_ca_system_score_gemma":0.000001591637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002226906,"about_ca_topic_score_gemma":0.00003229881,"domain_scores_codex":[0.9995586,0.00001734253,0.00008144252,0.0001237779,0.0001260046,0.00009279855],"domain_scores_gemma":[0.999791,0.0000143518,0.00004585134,0.0001254629,0.000002894224,0.00002038637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000520619,0.0003042238,0.7892728,0.00002305891,0.00003206236,0.00001587198,0.0008625846,0.009100907,0.1307815,0.0005089348,0.001343053,0.06770302],"study_design_scores_gemma":[0.0005276215,0.0003984719,0.736173,0.00003346991,0.00002505854,0.0000296018,0.0004799411,0.03381218,0.2238297,0.002243634,0.002058508,0.000388796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764282,0.000003083924,0.01217963,0.00008259139,0.00001271144,0.0000806391,3.182819e-7,0.00008716762,0.01112571],"genre_scores_gemma":[0.9935893,0.00002034594,0.005658993,0.0000267445,0.000002939711,0.000005397917,0.000001015656,0.000004627818,0.0006906399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09304827,"threshold_uncertainty_score":0.2562563,"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."}}