{"id":"W3097229793","doi":"10.1115/detc2020-22566","title":"Mechanical System Modelling Using Physics-Based and Data-Based Subsystems","year":2020,"lang":"en","type":"article","venue":"","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Interfacing; Parametric statistics; Representation (politics); Computer science; Physical system; Mechanical system; Point (geometry); Experimental data; Artificial neural network; Parametric model; Data modeling; Control engineering; Artificial intelligence; Physics; Engineering; Mathematics","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":[0.00008617054,0.0001412655,0.0002093082,0.00001212198,0.000107513,0.00007108534,0.0001597716,0.0000324375,0.00005872556],"category_scores_gemma":[6.428802e-7,0.0001226541,0.00004918266,0.0001120197,0.00001797445,0.0001253574,0.00005564344,0.0001271793,0.00001033877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001079921,"about_ca_system_score_gemma":0.00004649023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001559409,"about_ca_topic_score_gemma":3.11518e-7,"domain_scores_codex":[0.9990398,0.00005063882,0.0002036313,0.0003912434,0.0001383249,0.0001763818],"domain_scores_gemma":[0.9994105,0.00003276725,0.00007020624,0.0002867446,0.00003029661,0.0001695111],"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":[0.00003039691,0.00002952899,0.0001777079,0.00007755445,0.00002593621,0.000001309203,0.00001565744,0.9732437,0.001545341,0.0232001,0.0001758631,0.001476939],"study_design_scores_gemma":[0.0003995601,0.00001557135,3.273423e-7,0.00003672813,0.00003087538,3.57498e-7,0.0001163059,0.9959517,0.0029489,0.00005234286,0.0003088071,0.0001385649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04330773,0.00002028068,0.9554805,0.0002300907,0.0001117256,0.0001603895,0.00003243384,0.00009370573,0.0005631702],"genre_scores_gemma":[0.992484,1.819428e-7,0.006481518,0.0001908596,0.0007305573,0.000004348966,0.00007408812,0.00002038194,0.000014088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9491763,"threshold_uncertainty_score":0.500169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.155021492301,"score_gpt":0.2939448067390761,"score_spread":0.138923314438076,"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."}}