{"id":"W2057808716","doi":"10.1103/physrevlett.88.245701","title":"Modeling Elasticity in Crystal Growth","year":2002,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":961,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Epitaxy; Materials science; Elasticity (physics); Crystal growth; Grain boundary; Condensed matter physics; Statistical physics; Crystal (programming language); Growth model; Physics; Nanotechnology; Thermodynamics; Computer science; Microstructure; Mathematics; Composite material","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":[0.0001161881,0.0001190363,0.0002818717,0.00001642609,0.00003464817,0.00002171467,0.0001787258,0.000008103246,0.0003953603],"category_scores_gemma":[0.0001103232,0.00008465337,0.00007914795,0.0001047266,0.00003583686,0.0001390526,0.00005714443,0.0001316298,0.0004067735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000273093,"about_ca_system_score_gemma":0.00000303051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003615905,"about_ca_topic_score_gemma":0.000002732901,"domain_scores_codex":[0.9990682,0.00006919595,0.0002063064,0.0002362614,0.0001685756,0.0002514713],"domain_scores_gemma":[0.9997127,0.00003137634,0.00002930357,0.00014757,0.0000180366,0.00006101732],"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":[0.000002790593,0.00003635753,0.000003659036,0.0003366267,0.000001208163,0.000004773325,0.00007199944,0.0003917461,0.9974687,0.0003420504,0.001057764,0.0002822892],"study_design_scores_gemma":[0.001560481,0.0002659717,0.0001191572,0.008049253,0.000219524,0.00004401659,0.00003028057,0.6847732,0.2885822,0.007961789,0.00629992,0.002094206],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905492,0.003986184,0.001865716,0.003073718,0.00009573156,0.0001740964,0.000003156549,0.0000394029,0.0002127617],"genre_scores_gemma":[0.9842213,0.001035923,0.0001833974,0.01440569,0.0001225811,0.00001428266,8.449681e-7,0.000009721346,0.00000629951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7088866,"threshold_uncertainty_score":0.5228386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02999098228093728,"score_gpt":0.2534757913145189,"score_spread":0.2234848090335816,"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."}}