{"id":"W2018804666","doi":"10.1088/0957-4484/21/4/045602","title":"Detailed modeling of the epitaxial growth of GaAs nanowires","year":2009,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Nanowire Synthesis and Applications","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo","funders":"","keywords":"Nanowire; Materials science; Epitaxy; Chemical beam epitaxy; Nanotechnology; Substrate (aquarium); Vapor–liquid–solid method; Molecular beam epitaxy; Kinetic energy; Growth model; Chemical physics; Optoelectronics; Layer (electronics); Chemistry","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":[0.00005958077,0.00008596361,0.0001854325,0.00008503129,0.00003253975,0.000001884548,0.0003231788,0.0001824395,0.00001105267],"category_scores_gemma":[0.00004951095,0.00006519411,0.00008069949,0.0002903581,0.0000656503,0.00002505418,0.00002641819,0.0001132956,0.00000447644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001496511,"about_ca_system_score_gemma":0.00001315716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006550021,"about_ca_topic_score_gemma":0.00001308253,"domain_scores_codex":[0.99942,0.000009276258,0.0002489242,0.00009681541,0.00008242299,0.0001424975],"domain_scores_gemma":[0.999539,0.00002411995,0.00004704708,0.0003336786,0.00004380837,0.00001231753],"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":[0.000003856676,0.00004299635,0.000255282,0.00002415385,0.00002060032,2.776904e-7,0.00004986498,0.006123098,0.9227203,0.05252904,0.000112728,0.01811783],"study_design_scores_gemma":[0.0001448563,0.00002547264,0.000341457,0.00002711039,0.00001660414,0.000002931702,0.00001687913,0.04171299,0.9417319,0.01561877,0.0002739029,0.00008716514],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874159,0.0003304994,0.01021486,0.0007368766,0.00007344408,0.0001325831,0.000006245806,0.0001786538,0.0009108965],"genre_scores_gemma":[0.9987338,0.00005080885,0.001148256,0.00001377538,0.00001532172,0.00001072936,4.613817e-7,0.00001039493,0.00001645035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03691028,"threshold_uncertainty_score":0.2658539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007825907185114238,"score_gpt":0.199236139189472,"score_spread":0.1914102320043578,"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."}}