{"id":"W4324123058","doi":"10.2139/ssrn.4382480","title":"Knowledge as Output and as Input: Artificial Intelligence and Quantum Computing","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Quantum computer; Computer science; Artificial intelligence; Quantum; Physics; 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":[0.002034851,0.0004254717,0.0008941708,0.001209668,0.001155796,0.005994366,0.001137292,0.002375205,0.004821588],"category_scores_gemma":[0.007260451,0.0003768491,0.0006322893,0.002030289,0.009431094,0.01067553,0.00222971,0.002478037,0.0005551724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182556,"about_ca_system_score_gemma":0.001301321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00275851,"about_ca_topic_score_gemma":0.001823069,"domain_scores_codex":[0.998752,0.0005955626,0.00006307735,0.0001807565,0.0003045055,0.0001040475],"domain_scores_gemma":[0.9966425,0.002480499,0.000167375,0.0003696606,0.0002236386,0.0001163578],"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":[0.00002212327,0.0000124305,0.0001070933,0.00007140866,0.00001174287,0.00002869937,0.000128509,0.002332437,0.0001460555,0.9876027,0.0009443093,0.008592551],"study_design_scores_gemma":[0.000003915001,0.00000270996,0.00003020074,0.00001199483,0.000003661038,0.000009734402,0.00002317113,0.006089165,0.00007567006,0.9924093,0.001335697,0.000004817835],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06547382,0.04802912,0.68106,0.05071972,0.002097919,0.0000863109,0.0005500869,0.0003250376,0.151658],"genre_scores_gemma":[0.896193,0.01509912,0.07138194,0.001738937,0.00183016,0.0001220417,0.0001650276,0.00008008622,0.01338954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005994366,"threshold_uncertainty_score":0.01612985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03878862124398411,"score_gpt":0.2993541675008642,"score_spread":0.2605655462568801,"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."}}