{"id":"W2156589493","doi":"10.1109/siecpc.2013.6551000","title":"Modeling growth, morphology, and composition of ternary III &amp;#x2013; V nanowires","year":2013,"lang":"en","type":"article","venue":"","topic":"Nanowire Synthesis and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Ternary operation; Nanowire; Diffusion; Materials science; Composition (language); Morphology (biology); Binary number; Base (topology); Chemical composition; Range (aeronautics); Thermodynamics; Nanotechnology; Composite material; Physics; Mathematics; Geology; Computer science","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":[0.0000306659,0.00007413787,0.0001102143,0.00004493213,0.00003162124,0.000012198,0.00006075593,0.00004638464,0.0001598948],"category_scores_gemma":[0.000001833835,0.00006570464,0.00002414946,0.00004569844,0.00002734274,0.0001001635,0.00002081322,0.00004007845,0.00005240973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007157164,"about_ca_system_score_gemma":0.000002069215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004057401,"about_ca_topic_score_gemma":0.000008357174,"domain_scores_codex":[0.9996071,0.000006073928,0.0001556585,0.0000885283,0.0000455742,0.00009700111],"domain_scores_gemma":[0.999779,0.00002353057,0.00001144479,0.0001172792,0.00003207752,0.00003665436],"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":[0.000001071963,0.0000216177,0.0002599641,0.00003077019,0.00001913834,1.00596e-7,0.00006110928,0.005510627,0.9875068,0.002693321,0.001072977,0.002822498],"study_design_scores_gemma":[0.0004137823,0.00002156148,0.002580669,0.00006550566,0.00003414035,0.00003190801,0.00009546259,0.805905,0.1839093,0.005959875,0.0005945017,0.0003882411],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9132903,0.0001774436,0.08257758,0.000163775,0.00002952338,0.0001184658,0.000003453583,0.0001114168,0.003528018],"genre_scores_gemma":[0.9884502,0.0001161429,0.01122875,0.00002406207,0.00002340279,0.00004069241,0.0000064023,0.00001294594,0.00009742241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8035975,"threshold_uncertainty_score":0.2679358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140170379225371,"score_gpt":0.2084407638539743,"score_spread":0.1970390600617206,"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."}}