{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009387125,0.0007657701,0.0009687546,0.001346531,0.005414193,0.007347395,0.002401284,0.01228383,0.01568822],"category_scores_gemma":[0.01060149,0.0006989071,0.001559645,0.000683221,0.02569648,0.008793361,0.005731684,0.01124405,0.003174955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007713412,"about_ca_system_score_gemma":0.007779347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002960396,"about_ca_topic_score_gemma":0.002360623,"domain_scores_codex":[0.9930308,0.002331293,0.0004307529,0.0009793536,0.002373401,0.000854389],"domain_scores_gemma":[0.9945043,0.002458283,0.0003438515,0.001204089,0.001026148,0.0004632607],"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":[8.983642e-7,0.000004424612,0.000005549321,0.000003796827,0.000001110067,0.000004525355,0.00005025512,0.00005785482,0.00001028174,0.9988575,0.00065531,0.0003485494],"study_design_scores_gemma":[0.000006283984,0.000002456683,0.00001208484,0.000009394019,0.000001131368,0.00001038149,0.00002333091,0.0002287689,0.00002843641,0.9940613,0.005613174,0.000003263774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008045252,0.001374685,0.139147,0.04789342,0.001857982,0.0003349003,0.0001694349,0.0001682939,0.8010091],"genre_scores_gemma":[0.6689582,0.00131645,0.07904802,0.01848485,0.001715037,0.002047382,0.0001107925,0.0002664277,0.2280529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01568822,"threshold_uncertainty_score":0.05596495,"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."}}