{"id":"W4319323813","doi":"10.48550/arxiv.2302.01885","title":"Software for \"How to Bake a Quantum Pi\"","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Complementarity (molecular biology); Computation; Quantum; Recipe; Categorical variable; Quantum computer; Computer science; Quantum algorithm; Theoretical computer science; Mathematics; Theoretical physics; Algorithm; Quantum mechanics; Physics","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":[0.001224283,0.001450774,0.0009058098,0.001091961,0.0009769854,0.001346171,0.003153315,0.001899726,0.234528],"category_scores_gemma":[0.004743063,0.00140588,0.001193209,0.0007779641,0.0009272917,0.003844674,0.00243814,0.00343889,0.07962977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079576,"about_ca_system_score_gemma":0.001369137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001880067,"about_ca_topic_score_gemma":0.0024331,"domain_scores_codex":[0.9992661,0.0001007939,0.00005352808,0.0001750304,0.0002639646,0.0001406141],"domain_scores_gemma":[0.9982134,0.000647047,0.000119653,0.0005399383,0.0003533156,0.0001266644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009724851,0.0003367533,0.002143886,0.001048475,0.00009752494,0.0003116429,0.0002838617,0.006265762,0.01478632,0.0655202,0.755711,0.152522],"study_design_scores_gemma":[0.0006575109,0.0001924903,0.003092511,0.000310005,0.00006532704,0.0007597206,0.0001131593,0.1003185,0.06098284,0.107115,0.7261383,0.0002547056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.003047625,0.0001721779,0.3906193,0.0006318814,0.0003575246,0.0002660755,0.0121977,0.5645267,0.02818113],"genre_scores_gemma":[0.1461789,0.00054238,0.4732088,0.002441403,0.0002799233,0.001478581,0.04672614,0.2375107,0.09163331],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.234528,"threshold_uncertainty_score":0.7845743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1421193273496558,"score_gpt":0.213506048503386,"score_spread":0.07138672115373024,"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."}}