{"id":"W4403363005","doi":"","title":"Designing a multidisciplinary curriculum for quantum information processing","year":2001,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Multidisciplinary approach; Curriculum; Computer science; Quantum information processing; Quantum; Psychology; Physics; Sociology; Pedagogy; Quantum mechanics; Social science","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":[0.002341971,0.0001379833,0.0001195433,0.00009032272,0.0003399161,0.0001666855,0.0004069017,0.0001427616,0.00001468761],"category_scores_gemma":[0.00152101,0.0001288255,0.00008986795,0.0001980749,0.0001576363,0.0000367162,0.0002493949,0.0001083152,0.00002044081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002267923,"about_ca_system_score_gemma":0.0001690994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006261286,"about_ca_topic_score_gemma":0.0001043761,"domain_scores_codex":[0.9984642,0.0003899251,0.0003465011,0.0002142054,0.0002560553,0.0003291701],"domain_scores_gemma":[0.9977592,0.0001179715,0.0001711213,0.0004487477,0.001346373,0.0001565834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001658072,0.001047725,0.01344368,0.00066413,0.00009767728,0.000002895552,0.009909263,0.00007682191,0.2544155,0.006173356,0.007865063,0.7061381],"study_design_scores_gemma":[0.003054919,0.00001793884,0.005767652,0.0008576891,0.00004500553,0.00005318568,0.002892951,0.2314235,0.4980403,0.001858137,0.25508,0.0009086964],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2253333,0.0003703216,0.7645663,0.002364161,0.00007158986,0.0004224316,0.00001769945,0.00004429108,0.00680996],"genre_scores_gemma":[0.9117087,0.000488909,0.08522911,0.0001076041,0.00004474493,0.00007377572,0.0006811336,0.00001692378,0.001649151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7052293,"threshold_uncertainty_score":0.525335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552355548011316,"score_gpt":0.2697316326217922,"score_spread":0.254208077141679,"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."}}