{"id":"W4293010070","doi":"10.3390/app12178442","title":"Special Issue on Nanoscale Assembly and Integration for Applications","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Nanowire Synthesis and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Nanotechnology; Engineering ethics; Electronics; Nanoscopic scale; Engineering physics; Materials science; Engineering; Data science; Computer science; Electrical engineering","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":[0.0001812359,0.00006396954,0.00006602399,0.00005794075,0.0005954116,0.0000445064,0.0001495333,0.00001234621,0.00008904091],"category_scores_gemma":[0.000003208699,0.00006000491,0.00001530015,0.0002526741,0.0000619331,0.0000342749,0.00002247363,0.00005122976,0.00001998573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002412876,"about_ca_system_score_gemma":0.00001119909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001804672,"about_ca_topic_score_gemma":0.000006875813,"domain_scores_codex":[0.9994829,0.000004609113,0.00009442834,0.0001739372,0.0001274715,0.000116613],"domain_scores_gemma":[0.9997594,0.00009585104,0.00001823432,0.00009142399,0.000006784641,0.00002825654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007827031,0.00008069615,0.00001277875,0.00001254923,0.000006801606,5.184722e-8,0.0002576083,0.004392796,0.1169791,0.3924707,0.05047384,0.4353052],"study_design_scores_gemma":[0.0001059611,0.00007489991,0.0001196444,0.000001584681,0.000005970844,8.754613e-7,0.0005469981,0.004842934,0.0332201,0.004790082,0.9561586,0.0001322819],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09430916,0.0001862276,0.07581566,0.002461841,0.001041883,0.003957887,0.0001989754,0.0006567561,0.8213716],"genre_scores_gemma":[0.9923204,0.00001085346,0.003078236,0.0001075869,0.001293419,0.002891275,0.000009504211,0.000009832444,0.0002788993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9056848,"threshold_uncertainty_score":0.4579484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453415838759007,"score_gpt":0.2432869251673273,"score_spread":0.2287527667797373,"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."}}