{"id":"W2039552113","doi":"10.1038/nnano.2009.104","title":"Keeping track of dopants","year":2009,"lang":"en","type":"article","venue":"Nature Nanotechnology","topic":"Nanowire Synthesis and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nanowire; Dopant; Doping; Track (disk drive); Nanotechnology; Materials science; Semiconductor; Laser; Optoelectronics; Process (computing); Engineering physics; Computer science; Physics; Optics","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":[0.00004668853,0.00008505279,0.0001599497,0.0001299094,0.00002246415,0.000002932723,0.0001973573,0.0005876762,0.00001809918],"category_scores_gemma":[0.00003258493,0.00008248135,0.00004367708,0.0003045451,0.00003126973,0.00003033809,0.000008328175,0.0003994278,0.00001816939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001685992,"about_ca_system_score_gemma":0.000005832796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.94414e-7,"about_ca_topic_score_gemma":0.000002188573,"domain_scores_codex":[0.9995035,0.000003922786,0.0001540752,0.0001127444,0.00006476392,0.0001610088],"domain_scores_gemma":[0.9996516,0.00002510089,0.00002656115,0.0002557801,0.00002300657,0.00001795259],"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":[0.000002139879,0.00003013225,0.00002462005,0.00001246851,0.00001270529,0.000002061273,0.00001427085,0.0001654042,0.6987219,0.0430945,0.001147061,0.2567727],"study_design_scores_gemma":[0.000134052,0.00002796858,0.0009495234,0.00002146832,0.000009247478,0.00001116975,0.00001292478,0.0006188899,0.9504479,0.005865825,0.04177991,0.0001211629],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965332,0.005797026,0.005074285,0.002794863,0.0002489107,0.0002775367,0.0000174555,0.00161656,0.01884132],"genre_scores_gemma":[0.9975256,0.0001016327,0.002204397,0.00009329402,0.00003024333,0.000005754637,0.000001778918,0.00001031324,0.00002703121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2566516,"threshold_uncertainty_score":0.4532697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003575868595713893,"score_gpt":0.2172648277625141,"score_spread":0.2136889591668002,"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."}}