{"id":"W4388823921","doi":"10.1103/physrevx.13.041033","title":"Learning Interacting Theories from Data","year":2023,"lang":"en","type":"article","venue":"Physical Review X","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Jülich Supercomputing Centre, Forschungszentrum Jülich","keywords":"Computer science; Artificial neural network; Work (physics); Complex system; Data science; Statistical physics; Artificial intelligence; Physics; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001315059,0.00005606986,0.0001220341,0.000006834599,0.00008548622,0.00006511125,0.0009380555,0.000004550041,0.00000877138],"category_scores_gemma":[0.0001595809,0.00004218171,0.00003314013,0.0004244805,0.00001235751,0.0003139302,0.000827605,0.000139254,0.0007473209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003077338,"about_ca_system_score_gemma":0.000006613837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009770368,"about_ca_topic_score_gemma":7.589862e-7,"domain_scores_codex":[0.9993868,0.00004827479,0.00009131247,0.0002601235,0.00009901371,0.0001144519],"domain_scores_gemma":[0.9987471,0.0005141388,0.0000485369,0.0006418633,0.00001385881,0.00003449989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[3.965832e-7,0.00002887953,0.00007596354,0.00007772451,0.00001211897,0.000004221492,0.0001606718,0.00007856225,0.0008582695,0.3253489,0.009577145,0.6637772],"study_design_scores_gemma":[0.00004463786,0.00001866727,0.0005442557,0.001007197,0.00001909879,0.000001031641,0.00001477111,0.521209,0.0001707206,0.1748042,0.3019802,0.0001861526],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2697732,0.04544606,0.5253018,0.1193884,0.002258299,0.002198744,0.00009917546,0.006494123,0.02904027],"genre_scores_gemma":[0.9913074,0.005972805,0.001331428,0.0008005449,0.0003738299,0.0000239424,0.00006658129,0.00000652963,0.0001169146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7215343,"threshold_uncertainty_score":0.9605548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06544884570926958,"score_gpt":0.3846265364239375,"score_spread":0.3191776907146679,"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."}}