{"id":"W4255829103","doi":"10.1088/2058-9565/ab029d","title":"Quantum Canada","year":2019,"lang":"en","type":"article","venue":"Quantum Science and Technology","topic":"SAS software applications and methods","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Waterloo; Université de Sherbrooke; University of Ottawa; Canadian Institute for Advanced Research; National Research Council Canada","funders":"","keywords":"Excellence; Government (linguistics); Political science; Position (finance); Quantum technology; Private sector; Economic growth; Business; Public administration; Quantum; Economics; Physics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001464141,0.0007964635,0.0008241636,0.001637239,0.01263873,0.006427317,0.002333239,0.002374259,0.336513],"category_scores_gemma":[0.005804496,0.0006076177,0.000642949,0.00291725,0.00186871,0.001918994,0.002564033,0.002633147,0.06198629],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04368553,"about_ca_system_score_gemma":0.1305842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9202033,"about_ca_topic_score_gemma":0.9649205,"domain_scores_codex":[0.9968023,0.0001409916,0.00006049579,0.0003999098,0.001977611,0.0006185878],"domain_scores_gemma":[0.9931939,0.0003674694,0.0001158643,0.0003685755,0.004837964,0.001116196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007523439,0.00003209278,0.001367023,0.0001522325,0.00001385721,0.0001968888,0.0001849218,0.0002921499,0.0006015308,0.0718058,0.8705199,0.05475828],"study_design_scores_gemma":[0.00001183191,0.000006756685,0.0007603716,0.00004133701,0.000004957823,0.00005599905,0.0001687608,0.0003438404,0.0002750226,0.002048275,0.9962655,0.00001740958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003972032,0.003564795,0.006769213,0.03053261,0.002627917,0.000296802,0.01941115,0.002533714,0.9302917],"genre_scores_gemma":[0.02700583,0.002899267,0.00684836,0.006678041,0.0002378176,0.0001084458,0.006776778,0.0009184005,0.9485272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9563144,"threshold_uncertainty_score":0.9463836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006681406609025354,"score_gpt":0.2308576246306622,"score_spread":0.2241762180216368,"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."}}