{"id":"W2314608531","doi":"10.1021/cg4017118","title":"Reticular Growth of Silicon Ridges: Random Walk in Two Dimensions","year":2014,"lang":"en","type":"article","venue":"Crystal Growth & Design","topic":"Nanowire Synthesis and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Silicon; Random walk; Diffusion; Chemical physics; Materials science; Molecular beam epitaxy; Monte Carlo method; Epitaxy; Nanotechnology; Crystallography; Molecular physics; Chemistry; Optoelectronics; Physics; Thermodynamics","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":[0.0004272267,0.0001813025,0.0003303678,0.0001388566,0.00004769179,0.00001720584,0.0001829169,0.000065509,0.00003433515],"category_scores_gemma":[0.0001653814,0.0001707608,0.00009668514,0.0003255949,0.00006775188,0.0000868459,0.00002557825,0.0001268026,0.0000274847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003485929,"about_ca_system_score_gemma":0.00001541142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004755711,"about_ca_topic_score_gemma":0.000007155469,"domain_scores_codex":[0.9988801,0.0001117226,0.0003705864,0.0002113815,0.000158685,0.0002674688],"domain_scores_gemma":[0.9990962,0.0004062741,0.00004680536,0.0002987701,0.00006096855,0.00009097301],"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":[0.00004720184,0.0001262633,0.0008682331,0.0001525295,0.00004840306,0.000005292705,0.0003158429,0.006332804,0.9649053,0.0237757,0.001803081,0.001619312],"study_design_scores_gemma":[0.003980491,0.0001067223,0.004465696,0.0002720876,0.0001037491,0.0000128894,0.0000824754,0.08762421,0.8829964,0.01769838,0.001912461,0.0007444322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6122646,0.0006837935,0.3768963,0.0001873808,0.0001737895,0.0009236939,0.00001841601,0.000359998,0.008492043],"genre_scores_gemma":[0.9973345,0.0000592263,0.002362311,0.00002367503,0.00005412065,0.00009133908,0.00000570374,0.00004219859,0.00002687569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.38507,"threshold_uncertainty_score":0.6963424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009926536585943547,"score_gpt":0.2136617169232781,"score_spread":0.2037351803373345,"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."}}