{"id":"W2045266829","doi":"10.1002/jcc.10131","title":"Determination of the effective dielectric constant from the accurate solution of the Poisson equation","year":2002,"lang":"en","type":"article","venue":"Journal of Computational Chemistry","topic":"Advanced Chemical Physics Studies","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute","funders":"National Research Council Canada","keywords":"Dielectric; Constant (computer programming); Poisson's equation; Poisson distribution; Function (biology); Range (aeronautics); Work (physics); Simple (philosophy); Chemistry; Molecule; Physics; Statistical physics; Mathematics; Quantum mechanics; Computational chemistry; Materials science; Statistics; Computer science","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":[0.00007810078,0.00007600477,0.0001327494,0.000006164513,0.00009842189,0.000006584093,0.0001927024,0.00001985976,0.00002393718],"category_scores_gemma":[0.00007125126,0.00004063931,0.0001495073,0.0001558596,0.0001137994,0.00007685066,0.00004698474,0.0001858732,4.172389e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005005821,"about_ca_system_score_gemma":0.00003242083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000627998,"about_ca_topic_score_gemma":1.460994e-7,"domain_scores_codex":[0.9992213,0.00004268959,0.0003073722,0.00005974659,0.0003009479,0.00006791047],"domain_scores_gemma":[0.9979833,0.0006736046,0.0008937836,0.00008786228,0.0003482891,0.0000130991],"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":[0.0001236184,0.0005834998,0.01297711,0.00007741997,0.0005436493,4.814369e-7,0.002190943,0.1995997,0.7335951,0.001725068,0.0009453468,0.04763817],"study_design_scores_gemma":[0.0006326951,0.00002165858,0.011008,0.0001267675,0.00009891805,0.000002175805,0.0001618908,0.01693125,0.5908583,0.380042,0.00003674507,0.00007955647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648531,0.000176444,0.03279899,0.0006069544,0.00008339476,0.0001094438,0.00003318634,0.000001816359,0.001336677],"genre_scores_gemma":[0.999486,0.000002213673,0.000281354,0.00001622142,0.0001831169,0.000002592463,0.000003532448,0.000004446953,0.00002047362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3783169,"threshold_uncertainty_score":0.1657223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194552362737347,"score_gpt":0.242952699692172,"score_spread":0.2310071760647985,"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."}}