{"id":"W4381488622","doi":"10.2139/ssrn.4475556","title":"10 Principles for Responsible Quantum Innovation","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Safeguarding; Responsible Research and Innovation; Normative; Quantum; Set (abstract data type); Quantum information science; Engineering ethics; Equity (law); Business; Political science; Knowledge management; Computer science; Engineering; Physics; Medicine; Quantum entanglement; Quantum mechanics","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":[0.003769301,0.0001519335,0.0001509914,0.0008124395,0.0006473165,0.0001041582,0.0004545132,0.0000918986,0.0001982605],"category_scores_gemma":[0.007216368,0.0001433015,0.00006675138,0.003040712,0.0001747912,0.0002754144,0.00008450907,0.001474654,0.0005858076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004340544,"about_ca_system_score_gemma":0.002597614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001779036,"about_ca_topic_score_gemma":0.00003042484,"domain_scores_codex":[0.996338,0.0001351191,0.0006059854,0.0003657887,0.0005134264,0.002041692],"domain_scores_gemma":[0.9984734,0.0006170732,0.0003309762,0.0002488677,0.0002758066,0.00005389415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008975291,0.0000376418,0.000007101955,0.000007907158,0.000008891152,0.000002814161,0.00003706617,0.0000161492,0.249734,0.74549,0.001768087,0.002800587],"study_design_scores_gemma":[0.0006906373,0.0006270284,0.00008494512,0.00002017653,0.000009289893,0.00007936635,0.0001688504,0.001263843,0.09090595,0.796546,0.1094198,0.0001840014],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9153767,0.00008341419,0.04645023,0.03099134,0.00147233,0.001000349,0.00004152052,0.000673483,0.003910655],"genre_scores_gemma":[0.9153176,0.0006171646,0.0001796384,0.001347805,0.0005453053,0.00008185521,0.00002081121,0.00006168995,0.08182814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.158828,"threshold_uncertainty_score":0.8639188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1275422760371114,"score_gpt":0.3617869518918979,"score_spread":0.2342446758547865,"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."}}