{"id":"W1528926389","doi":"10.1007/3-540-09238-2_79","title":"Geometric quantization of nuclear collective models","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Quantization (signal processing); Computer science; Geometric quantization; Statistical physics; Physics; Theoretical physics; Algorithm; Quantum mechanics; Quantum; Canonical quantization; Quantum gravity","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":[0.0007733849,0.001026677,0.001134454,0.001474879,0.001328673,0.002883163,0.001482543,0.001555497,0.009049456],"category_scores_gemma":[0.001142698,0.0004679385,0.00092071,0.0009881251,0.003690401,0.003331652,0.001562826,0.003053288,0.001562727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634066,"about_ca_system_score_gemma":0.0007228905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001227324,"about_ca_topic_score_gemma":0.001250901,"domain_scores_codex":[0.9995657,0.0001333926,0.00001839274,0.00006393694,0.0001733353,0.00004527024],"domain_scores_gemma":[0.9995703,0.0001141443,0.00004827616,0.0000869344,0.0001014847,0.00007886434],"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":[0.000001767134,0.000002521275,0.000007479694,0.000007258485,0.000001249629,0.000006286855,0.00003018609,0.0004894499,0.00008788813,0.9971957,0.0009970344,0.001173102],"study_design_scores_gemma":[0.000002782486,0.000003134311,0.00002146936,0.000004308876,8.044143e-7,0.00001707268,0.00001710258,0.00213323,0.00003069044,0.9946872,0.003078518,0.000003737395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.08399741,0.008319736,0.3409958,0.00849364,0.003260404,0.0001147177,0.0007102335,0.0007239377,0.553384],"genre_scores_gemma":[0.7053433,0.00709564,0.1056294,0.001898673,0.004123713,0.000372655,0.001059582,0.0006809362,0.1737962],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009049456,"threshold_uncertainty_score":0.03027344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03894031504034914,"score_gpt":0.2846755544768341,"score_spread":0.245735239436485,"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."}}