{"id":"W4404571010","doi":"10.1103/2jh8-p5y2","title":"Data-driven model reconstruction for nonlinear wave dynamics","year":2025,"lang":"en","type":"preprint","venue":"Physical Review Research","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Réseau Québécois en Innovation Sociale","funders":"Office of Naval Research; Australian Research Council; Japan Science and Technology Agency; Foundation for the Advancement of Theoretical Physics and Mathematics; Ministry of Science and Higher Education of the Russian Federation; Moonshot Research and Development Program; Ministry of Education - Singapore","keywords":"Dynamics (music); Nonlinear system; Computer science; Statistical physics; Physics; Acoustics","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":[0.001145523,0.0006040198,0.0006648898,0.0005640744,0.00032397,0.0008477535,0.0009930119,0.001207018,0.001705623],"category_scores_gemma":[0.00484006,0.0005758933,0.0007121612,0.0003949996,0.001018491,0.001113234,0.001046597,0.002028893,0.0004846333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008439296,"about_ca_system_score_gemma":0.001065942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004347207,"about_ca_topic_score_gemma":0.004049218,"domain_scores_codex":[0.9997905,0.0000836962,0.00001091264,0.00003979626,0.00005448403,0.00002059144],"domain_scores_gemma":[0.9983661,0.001057977,0.0001589076,0.00017868,0.0001714088,0.00006705218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002550817,0.00002000222,0.0004094088,0.00003897295,0.00002011704,0.00002841788,0.00003079993,0.9633637,0.0012764,0.02291971,0.0004582726,0.01140872],"study_design_scores_gemma":[8.605849e-7,0.000001179698,0.000009265616,9.97253e-7,3.074732e-7,0.00000168534,0.000001030073,0.9970945,0.0001073112,0.002720975,0.00006092454,8.800081e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01492204,0.0001460051,0.9835373,0.0002877338,0.00001581493,0.00001644038,0.000105904,0.0003442248,0.0006246441],"genre_scores_gemma":[0.6398798,0.0004762266,0.353969,0.0001816565,0.00007189738,0.000216515,0.0009088563,0.0002893014,0.004006568],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004347207,"threshold_uncertainty_score":0.008643806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2235157409842636,"score_gpt":0.4358295632298049,"score_spread":0.2123138222455414,"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."}}