{"id":"W4285428806","doi":"10.48550/arxiv.2207.05667","title":"Quantization, dequantization, and distinguished states","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Topics in Algebra","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Institut Périmètre de physique théorique; Banff International Research Station for Mathematical Innovation and Discovery","keywords":"Quantization (signal processing); Symplectic geometry; Geometric quantization; Quantum; Pure mathematics; Second quantization; Vector space; Algebra over a field; Canonical quantization; Mathematics; Quantum state; Theoretical physics; Physics; Quantum mechanics; Quantum gravity; Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001753669,0.000433119,0.0005357956,0.00115747,0.001475585,0.00252043,0.001310005,0.001144866,0.004687508],"category_scores_gemma":[0.00259342,0.0003525472,0.0008409751,0.0008945193,0.007654706,0.00656894,0.003692077,0.002765717,0.0006240936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143671,"about_ca_system_score_gemma":0.0009429048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005387333,"about_ca_topic_score_gemma":0.0003894409,"domain_scores_codex":[0.9986336,0.0004438372,0.00007380467,0.0002598896,0.0004296476,0.0001592783],"domain_scores_gemma":[0.9987904,0.0002993399,0.0001670306,0.0004009237,0.0002043572,0.0001378993],"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":[0.000001929264,0.000002556874,0.00002103336,0.000004563953,7.137767e-7,0.000007334035,0.00004379563,0.0002733512,0.0001277308,0.9988934,0.00006190042,0.0005616471],"study_design_scores_gemma":[0.000004181512,0.00001072953,0.00003901825,0.000006364095,0.000001161548,0.00002922109,0.00004561674,0.002960488,0.000359603,0.9952787,0.00125827,0.00000673715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2184132,0.001047002,0.7094356,0.003333635,0.0004139081,0.00007939218,0.0002793209,0.0003462609,0.06665169],"genre_scores_gemma":[0.9144333,0.0005717775,0.07590964,0.0004509808,0.0001626218,0.000089443,0.0002153921,0.0001528864,0.008014008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004687508,"threshold_uncertainty_score":0.01568133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1205011699563311,"score_gpt":0.248966579852342,"score_spread":0.128465409896011,"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."}}