{"id":"W4389541049","doi":"10.1209/0295-5075/ad1414","title":"Classifying deviation from standard quantum behavior using the Kullback-Leibler divergence","year":2023,"lang":"en","type":"article","venue":"Europhysics Letters (EPL)","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Quantum Research Center; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Divergence (linguistics); Kullback–Leibler divergence; Statistical physics; Standard deviation; Quantum; Range (aeronautics); Measure (data warehouse); Mathematics; Computer science; Physics; Statistics; Quantum mechanics; Data mining; Engineering","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":[0.004030967,0.0004066968,0.0008075258,0.001727993,0.0007752583,0.00246883,0.001014079,0.001141065,0.001842036],"category_scores_gemma":[0.01208015,0.0001300493,0.0005260993,0.000934735,0.004760304,0.003323172,0.001400295,0.001299627,0.0002070018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228495,"about_ca_system_score_gemma":0.000673053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008180427,"about_ca_topic_score_gemma":0.0005974583,"domain_scores_codex":[0.9979278,0.0006729023,0.000170856,0.0003431683,0.0007496944,0.0001356261],"domain_scores_gemma":[0.9897041,0.005171092,0.001972225,0.001457823,0.00097729,0.0007175896],"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":[0.0003334988,0.0002918018,0.03625376,0.0002583292,0.0002411195,0.0005157829,0.0005730596,0.1226435,0.01826435,0.7758945,0.002026698,0.04270358],"study_design_scores_gemma":[0.00002149483,0.0002828644,0.008406498,0.00003429803,0.0000217463,0.0002281934,0.0002114474,0.5829544,0.004332504,0.402582,0.0007970962,0.0001275844],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6363552,0.0003446964,0.3528784,0.00103712,0.00009230998,0.00007267251,0.0002051386,0.0003547361,0.008659552],"genre_scores_gemma":[0.9812702,0.00007558589,0.0180591,0.00009439814,0.00003784515,0.00002901652,0.00009106284,0.00002331588,0.0003193262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004030967,"threshold_uncertainty_score":0.02131808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03968007752404775,"score_gpt":0.2783042727255518,"score_spread":0.238624195201504,"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."}}