{"id":"W4391755342","doi":"10.1103/physrevb.109.075124","title":"Many-body mobility edges in one and two dimensions revealed by convolutional neural networks","year":2024,"lang":"en","type":"article","venue":"Physical review. B./Physical review. B","topic":"Quantum many-body systems","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Convolutional neural network; Delocalized electron; Wave function; Artificial intelligence; Computer science; Pattern recognition (psychology); Physics; Inverse; Statistical physics; Mathematics; Quantum mechanics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008881373,0.00078369,0.002243052,0.00007073995,0.0001703507,0.0001230869,0.000485621,0.00005246594,0.0001558321],"category_scores_gemma":[0.0001506237,0.0006534524,0.0008168818,0.001108545,0.000366521,0.0004632144,0.0003702655,0.001193397,0.0004042924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001246073,"about_ca_system_score_gemma":0.0001024675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001777664,"about_ca_topic_score_gemma":0.000002887569,"domain_scores_codex":[0.9949704,0.000770154,0.001198401,0.001398625,0.000730015,0.0009324158],"domain_scores_gemma":[0.9970691,0.001047174,0.0002902032,0.0009406151,0.0001564822,0.0004964766],"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":[0.00001854293,0.001722123,0.004238018,0.007259628,0.0002285384,0.00001501307,0.00005206094,0.00004354446,0.003021362,0.93386,0.02574544,0.02379574],"study_design_scores_gemma":[0.0008783916,0.0002490024,0.005324272,0.02649279,0.001009324,0.00000967643,0.00001529012,0.8449959,0.0002093851,0.08602587,0.03330005,0.001490029],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6524336,0.3214272,0.01397676,0.004692482,0.0005993903,0.004447094,0.0003223372,0.0002823297,0.001818877],"genre_scores_gemma":[0.9802927,0.01569845,0.00003385932,0.001054376,0.001700043,0.0007323793,0.0002639987,0.00009003182,0.000134134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8478341,"threshold_uncertainty_score":0.9995916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822083362415076,"score_gpt":0.3502690914169936,"score_spread":0.3320482577928428,"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."}}