{"id":"W4312800848","doi":"10.1109/estc55720.2022.9939533","title":"Bringing Nanotechnology Closer to Electrical Engineers: Training Course Development for Upskilling in the METIS Project","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC)","topic":"Nanotechnology research and applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electronics; Metis; Microelectronics; Engineering; Nanotechnology; Engineering management; Computer science; Electrical engineering; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002144409,0.0008860822,0.0004372696,0.0007780371,0.001211408,0.001859759,0.001258588,0.00122857,0.02710417],"category_scores_gemma":[0.002369568,0.0002524723,0.0005264545,0.0003937495,0.0004278806,0.001216031,0.003871702,0.002002055,0.0139822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121053,"about_ca_system_score_gemma":0.003252722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00028482,"about_ca_topic_score_gemma":0.0008609802,"domain_scores_codex":[0.9987471,0.0002441132,0.00003599128,0.0002160042,0.0003846972,0.0003720898],"domain_scores_gemma":[0.9966672,0.0001660903,0.0001340397,0.0001413155,0.0006097371,0.002281585],"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":[0.0004582772,0.004178406,0.005292551,0.0005565321,0.00001446541,0.000595546,0.003583936,0.002889489,0.04047885,0.01729396,0.1635227,0.7611353],"study_design_scores_gemma":[0.00009786982,0.002404415,0.01354493,0.0005314961,0.00001808749,0.0009032784,0.001919484,0.003389731,0.03391066,0.009760493,0.9334692,0.00005044527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3442756,0.003800392,0.2443987,0.02030758,0.01155296,0.003744892,0.001964173,0.007715506,0.3622402],"genre_scores_gemma":[0.2734026,0.004001488,0.2448743,0.004972405,0.002414616,0.002707399,0.003835148,0.001579874,0.4622121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02710417,"threshold_uncertainty_score":0.09067249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02493965877946803,"score_gpt":0.2744120541085374,"score_spread":0.2494723953290694,"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."}}