{"id":"W7053289017","doi":"","title":"Uncertainty in recurrent neural network with dropout","year":2020,"lang":"en","type":"other","venue":"Aaltodoc (Aalto University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Dropout (neural networks); Recurrent neural network; Artificial neural network; Bayesian probability; Monte Carlo method; Particle filter; Bayesian network; Bayesian inference","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":[0.005004895,0.0009087542,0.001380205,0.0006260509,0.0006485484,0.001623252,0.001716063,0.001305065,0.001321009],"category_scores_gemma":[0.01871987,0.0006166103,0.0008481491,0.0006856727,0.001328001,0.003017446,0.001831342,0.002392193,0.000256739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002243263,"about_ca_system_score_gemma":0.001281386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008051611,"about_ca_topic_score_gemma":0.005641039,"domain_scores_codex":[0.9980803,0.0006819989,0.0001274965,0.0003490283,0.0005937386,0.0001674798],"domain_scores_gemma":[0.9916226,0.006287343,0.0006817064,0.0004499095,0.0008259286,0.0001324692],"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":[0.0001545204,0.00003205414,0.001259324,0.00008764415,0.0000517856,0.00008208998,0.00008295639,0.9462415,0.001016192,0.02264873,0.0008978792,0.02744532],"study_design_scores_gemma":[0.000003014336,0.00001613609,0.000104031,0.000006568136,0.000006157331,0.000007689246,0.000003360112,0.9919838,0.0004882256,0.007241613,0.0001347024,0.000004795581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05466416,0.001050918,0.9397385,0.0007353449,0.00007491362,0.00004128089,0.0001876064,0.0006755877,0.002831619],"genre_scores_gemma":[0.9292227,0.000737478,0.06588364,0.0002039539,0.00007601066,0.000126627,0.0004368729,0.0001657089,0.003146978],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008051611,"threshold_uncertainty_score":0.02646875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009897619765434754,"score_gpt":0.1774952114350064,"score_spread":0.1675975916695717,"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."}}