{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002268638,0.0005006834,0.0005960668,0.006297554,0.00221755,0.004169306,0.001485236,0.001266371,0.1831449],"category_scores_gemma":[0.01576226,0.0003152,0.0004646004,0.005545158,0.0006581509,0.003427595,0.00572863,0.001333007,0.05804685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001406743,"about_ca_system_score_gemma":0.006976523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002155129,"about_ca_topic_score_gemma":0.005599624,"domain_scores_codex":[0.9982224,0.0005857315,0.0001206138,0.0001232924,0.0005066965,0.0004412157],"domain_scores_gemma":[0.984088,0.004864149,0.001177039,0.001413138,0.002066566,0.006391212],"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":[0.0002284375,0.001674872,0.004625973,0.00114449,0.0000135301,0.0003610948,0.001756183,0.0003965934,0.002440985,0.01488623,0.3381659,0.6343057],"study_design_scores_gemma":[0.00009771882,0.0002076975,0.023158,0.0008100005,0.00003287194,0.0002999092,0.002265901,0.0005361364,0.00259948,0.01048388,0.9594411,0.00006732855],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1528215,0.005108903,0.04127766,0.05753429,0.003214936,0.002960621,0.04852865,0.01894437,0.6696092],"genre_scores_gemma":[0.4276951,0.007967657,0.1892458,0.006876736,0.002268425,0.00325115,0.0409262,0.003130323,0.3186387],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1831449,"threshold_uncertainty_score":0.6126806,"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."}}