{"id":"W4384790419","doi":"10.1007/978-3-031-22340-2_6","title":"Thermodynamic Limits of Electronic Systems","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Division of Chemistry; Engineering and Physical Sciences Research Council; National Science Foundation","keywords":"Statistical physics; Scaling; Density functional theory; Fermi Gamma-ray Space Telescope; Thermodynamic limit; Electronic structure; Theoretical physics; Physics; Mathematics; 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":[0.0004248824,0.0004834761,0.0006969141,0.0008977854,0.0009675818,0.002127825,0.001043075,0.0009745326,0.01480524],"category_scores_gemma":[0.002164731,0.0004549896,0.0003078106,0.0006716746,0.002651062,0.003423506,0.001695829,0.002726742,0.002877715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009055277,"about_ca_system_score_gemma":0.0004335185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004717564,"about_ca_topic_score_gemma":0.0005799538,"domain_scores_codex":[0.9995852,0.00008049014,0.00001291456,0.00005263737,0.0002291831,0.00003967253],"domain_scores_gemma":[0.9995905,0.0002533285,0.00001377303,0.000060987,0.00005411121,0.00002726256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004967807,0.00001141393,0.00002324361,0.00006617644,0.000003733387,0.00001784713,0.00004946036,0.001186862,0.0005574603,0.9814855,0.007375791,0.009217493],"study_design_scores_gemma":[0.000001377602,0.000002169708,0.00004835386,0.00003107739,9.611728e-7,0.00003577546,0.00001299939,0.00205576,0.0002568158,0.9733781,0.02417293,0.000003820025],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01172455,0.05194884,0.04075803,0.00491041,0.001563321,0.00002363391,0.0002026075,0.000270532,0.888598],"genre_scores_gemma":[0.4963794,0.06433304,0.02624119,0.003035704,0.004490321,0.0003596363,0.0006097871,0.0007240268,0.4038268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01480524,"threshold_uncertainty_score":0.04952854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242286426660373,"score_gpt":0.2374434912354633,"score_spread":0.2250206269688596,"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."}}