{"id":"W4205577015","doi":"10.1016/j.fuel.2021.123068","title":"A reconstruction method of detonation wave surface based on convolutional neural network","year":2022,"lang":"en","type":"article","venue":"Fuel","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Detonation; Convolutional neural network; Computer science; Artificial neural network; Dimensionality reduction; Perceptron; Artificial intelligence; Surface (topology); Pattern recognition (psychology); Shock wave; Algorithm; Generalization; Explosive material; Mechanics; Mathematics; Physics; Chemistry; Mathematical analysis; Geometry","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":[0.0001862727,0.00006070377,0.00007991456,0.00006606639,0.00006931907,0.000007212014,0.00005355465,0.00002199773,0.0005843877],"category_scores_gemma":[0.00002431119,0.00007155711,0.00003488964,0.0002881027,0.00000947648,0.00006482515,0.00001553566,0.0001099267,0.000003686776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007840187,"about_ca_system_score_gemma":0.00003018301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002323215,"about_ca_topic_score_gemma":0.000002160726,"domain_scores_codex":[0.9994307,0.00005399535,0.0001471712,0.00009097382,0.0001941884,0.00008297373],"domain_scores_gemma":[0.9996636,0.0001297089,0.00004154802,0.00008334884,0.00005861924,0.00002317974],"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":[0.00001435064,0.0000131413,0.0001980467,0.00002735603,0.000005964447,4.545754e-7,0.00002421928,0.9869062,0.0002686375,0.003376318,0.001058231,0.008107021],"study_design_scores_gemma":[0.0002638885,0.00003309638,0.001755517,0.000004653407,0.000004420614,0.00001453625,0.00003121437,0.9913068,0.0005814865,0.001731643,0.004199664,0.00007307541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08076824,0.0006677993,0.8925243,0.000858319,0.003662692,0.0003609268,0.00008653541,0.0007543632,0.02031683],"genre_scores_gemma":[0.9765263,0.000005123847,0.02313886,0.0001252452,0.00003826614,0.00001404001,0.00003348842,0.000009346591,0.000109303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8957581,"threshold_uncertainty_score":0.6398636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746975701783403,"score_gpt":0.2313784702822153,"score_spread":0.2139087132643813,"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."}}