{"id":"W2581950455","doi":"10.3390/atoms5010006","title":"JJ2LSJ Transformation and Unique Labeling for Energy Levels","year":2017,"lang":"en","type":"article","venue":"Atoms","topic":"Atomic and Molecular Physics","field":"Physics and Astronomy","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transformation (genetics); Basis (linear algebra); Computer science; Program transformation; Atom (system on chip); Energy (signal processing); State (computer science); Programming language; Algorithm; Theoretical computer science; Physics; Mathematics; Parallel computing; Quantum mechanics; Geometry; Chemistry","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":[0.001507988,0.001108598,0.001106012,0.001622701,0.001491852,0.002542953,0.002478275,0.00118383,0.07984078],"category_scores_gemma":[0.003599344,0.0009011535,0.001675992,0.001443735,0.0008754894,0.002133471,0.002693912,0.00310984,0.01975899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225989,"about_ca_system_score_gemma":0.001336781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001499551,"about_ca_topic_score_gemma":0.00192753,"domain_scores_codex":[0.9988457,0.0002064497,0.00007372798,0.0001612703,0.0005613228,0.0001515019],"domain_scores_gemma":[0.998816,0.0003666141,0.00006917645,0.0003728014,0.0003113108,0.00006404943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009137804,0.0002993174,0.002929419,0.0009929072,0.0001735948,0.0007502251,0.0009511387,0.03403415,0.03426049,0.3742247,0.2715591,0.2789113],"study_design_scores_gemma":[0.0002624627,0.00008493267,0.001192298,0.0001450966,0.00004923488,0.0005835086,0.0002882832,0.304507,0.09101546,0.2251264,0.3765463,0.0001991185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008711463,0.00007231978,0.8947147,0.0002751566,0.0002850076,0.0001136598,0.004040393,0.06789775,0.0238895],"genre_scores_gemma":[0.1106552,0.0001677241,0.7695891,0.0005505832,0.0001269523,0.0008070151,0.01071542,0.08184546,0.02554254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07984078,"threshold_uncertainty_score":0.267094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783031656387036,"score_gpt":0.2708953785743989,"score_spread":0.2530650620105286,"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."}}