{"id":"W2771462116","doi":"10.1103/physrevlett.120.121601","title":"Fine Grained Chaos in <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msub><mml:mrow><mml:mi>AdS</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math> Gravity","year":2018,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Black Holes and Theoretical Physics","field":"Physics and Astronomy","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of California, Santa Barbara","keywords":"Scrambling; Exponential function; Function (biology); Order (exchange); Physics; Mathematical physics; Computer science; Algorithm; Mathematics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001890763,0.0002308881,0.000217333,0.0007385197,0.0006145961,0.001461935,0.0003216563,0.0003984119,0.006610294],"category_scores_gemma":[0.0007849052,0.0002005482,0.0004669963,0.0003995864,0.0009100322,0.001033291,0.0005571587,0.0007232078,0.0004724346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009637043,"about_ca_system_score_gemma":0.0003450173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004441645,"about_ca_topic_score_gemma":0.003412314,"domain_scores_codex":[0.9999324,0.00001457713,0.0000044029,0.00001418931,0.00001891135,0.00001549802],"domain_scores_gemma":[0.999798,0.00007978611,0.00003832023,0.00003209916,0.00002446286,0.00002736114],"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":[0.00003180304,0.000009186849,0.0008865836,0.00004495387,0.0000126348,0.0001502296,0.0003091416,0.01913141,0.00337017,0.9668263,0.003722184,0.005505432],"study_design_scores_gemma":[0.00001820433,0.00002400516,0.004964367,0.00002861011,0.00001032575,0.000147193,0.0000829092,0.287583,0.001810957,0.6943158,0.01098354,0.00003116558],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6911825,0.003307254,0.2112687,0.004040696,0.0003514357,0.00007663522,0.00156848,0.002276051,0.08592828],"genre_scores_gemma":[0.9701725,0.0005462804,0.01446324,0.0001170838,0.0001243436,0.00005163166,0.0004105107,0.0002435912,0.0138709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006610294,"threshold_uncertainty_score":0.02211368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462521514283316,"score_gpt":0.2518347131008327,"score_spread":0.2372094979579995,"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."}}