{"id":"W3108171681","doi":"10.1109/qce49297.2020.00046","title":"Educational Resources for Promoting Talent in Quantum Computing","year":2020,"lang":"en","type":"article","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Novelty; Workforce; Quantum computer; Computer science; Relevance (law); Quantum; Data science; Knowledge management; Political science; Economic growth; Physics; Psychology; Economics","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":[0.0002484587,0.0001082131,0.0001332346,0.00006001713,0.0001265955,0.0001272136,0.0005715878,0.00002837321,0.000004986973],"category_scores_gemma":[0.0001293261,0.00009429194,0.00005549362,0.0003363572,0.0000183125,0.00009146889,0.0002419089,0.0001314878,0.00001094728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000015384,"about_ca_system_score_gemma":0.00005883701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001417261,"about_ca_topic_score_gemma":0.000002600022,"domain_scores_codex":[0.9988912,0.00003821448,0.0002455796,0.0003954393,0.0001540917,0.0002754153],"domain_scores_gemma":[0.9993753,0.0002711671,0.00007272194,0.0001427695,0.00003823571,0.00009977605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000354377,0.0006015553,0.01392563,0.000569063,0.00005341619,0.00002572499,0.1057005,0.1088334,0.004009398,0.2654995,0.005903398,0.494843],"study_design_scores_gemma":[0.0002297991,0.0000881108,0.003361211,0.00003587349,7.806789e-7,0.000006207269,0.0000543016,0.9900495,0.000169876,0.003473614,0.002401513,0.0001292224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5108277,0.00006710859,0.4558899,0.03243595,0.0001731183,0.0002165994,0.000001062155,0.0001437981,0.0002447658],"genre_scores_gemma":[0.8729124,4.022922e-7,0.1255302,0.001198068,0.0003232395,0.000005652328,0.000001532051,0.000007444686,0.00002101613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8812161,"threshold_uncertainty_score":0.3845114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611420401055132,"score_gpt":0.2575067469171236,"score_spread":0.2413925429065723,"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."}}