{"id":"W4404495576","doi":"10.3390/medsci12040067","title":"Quantum Computing in Medicine","year":2024,"lang":"en","type":"review","venue":"Medical Sciences","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Transformative learning; Quantum computer; Qubit; Computer science; Quantum technology; Quantum nanoscience; Scalability; Quantum; Field (mathematics); Quantum entanglement; Data science; Medicine; Quantum network; Physics; Open quantum system; Quantum mechanics; Mathematics; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009761773,0.0007168904,0.0009319942,0.001423175,0.0007454061,0.001663161,0.0009055505,0.002238255,0.006099993],"category_scores_gemma":[0.001681203,0.0002621243,0.0004877044,0.001594764,0.002958948,0.002728869,0.001603827,0.003383728,0.001857035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00168751,"about_ca_system_score_gemma":0.002585889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00172118,"about_ca_topic_score_gemma":0.001663059,"domain_scores_codex":[0.9994698,0.0001793947,0.00003524898,0.00006881417,0.000197049,0.00004969808],"domain_scores_gemma":[0.9993865,0.000398404,0.00003442061,0.00004347473,0.0001010428,0.0000361128],"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":[0.00003898553,0.00005463402,0.0001991871,0.008563438,0.00008522778,0.000193581,0.0003549966,0.001697028,0.001442514,0.3625656,0.0641685,0.5606363],"study_design_scores_gemma":[0.000007235039,0.00004705661,0.0002561098,0.001782163,0.00001753422,0.0003910481,0.00007745179,0.0002947263,0.0004039732,0.0830512,0.9136538,0.00001788235],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004393773,0.9728098,0.003978084,0.005910058,0.001859407,0.00002166301,0.00003864012,0.00004229907,0.01490056],"genre_scores_gemma":[0.01109113,0.9775015,0.002225068,0.003260585,0.00182356,0.00004300114,0.00004689888,0.00001666512,0.003991629],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006099993,"threshold_uncertainty_score":0.02040654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07650272473196261,"score_gpt":0.3891847623746573,"score_spread":0.3126820376426947,"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."}}