{"id":"W4378695999","doi":"10.1016/b978-0-323-99901-4.00012-3","title":"The thermal discrete dipole approximation and the discrete system Green's function methods for computational near-field radiative heat transfer","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Thermal Radiation and Cooling Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Discrete dipole approximation; Discretization; Radiative transfer; Dipole; Thermal radiation; Physics; Field (mathematics); Green's function; Discrete system; Function (biology); Heat transfer; Thermal; Mathematical analysis; Integral equation; System of linear equations; Mathematics; Mechanics; Optics; Quantum mechanics; Thermodynamics; Algorithm","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":[0.0004985299,0.000727964,0.000850336,0.0005608363,0.0003640236,0.001208248,0.001245305,0.00102386,0.01008068],"category_scores_gemma":[0.001163221,0.0004933451,0.0006932152,0.001303638,0.001348332,0.001231331,0.0007733352,0.002857371,0.003293862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006454351,"about_ca_system_score_gemma":0.000671186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00191778,"about_ca_topic_score_gemma":0.002262527,"domain_scores_codex":[0.999743,0.00007970197,0.000009256904,0.00002536966,0.0001273871,0.00001518967],"domain_scores_gemma":[0.9996494,0.0002160002,0.00001088998,0.00005201486,0.00005420355,0.00001745473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003534904,0.00007041214,0.0001288252,0.0003996138,0.00003384036,0.00006119918,0.0001198718,0.1006301,0.00379859,0.6823201,0.04626979,0.1661323],"study_design_scores_gemma":[0.00001877234,0.00002437764,0.0002831041,0.0001114613,0.00001196042,0.0001176595,0.00003169988,0.4947368,0.001708255,0.3932991,0.1096279,0.00002896471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002787722,0.01954672,0.9058539,0.001316252,0.001870054,0.00004384192,0.0002329657,0.0007909343,0.06755758],"genre_scores_gemma":[0.08384282,0.02253963,0.7070803,0.0006084293,0.001486806,0.000349977,0.0005915746,0.001765824,0.1817346],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01008068,"threshold_uncertainty_score":0.03372318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239740619855157,"score_gpt":0.245474735615893,"score_spread":0.2330773294173415,"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."}}