{"id":"W7013142093","doi":"","title":"Continuous Dropout","year":2018,"lang":"en","type":"article","venue":"UTS ePRESS (University of Technology Sydney)","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dropout (neural networks); Overfitting; Feature (linguistics); Binary number; Artificial neural network; Binary classification; Pattern recognition (psychology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001788275,0.001768915,0.001223679,0.0009566393,0.0007023076,0.003021458,0.002617664,0.002248585,0.0688749],"category_scores_gemma":[0.006260821,0.0006432245,0.001121418,0.001383789,0.000634123,0.00267499,0.001892415,0.002907195,0.03740096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367192,"about_ca_system_score_gemma":0.002008194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004247427,"about_ca_topic_score_gemma":0.005361541,"domain_scores_codex":[0.9988065,0.0001891084,0.00009737225,0.0003134725,0.0004551,0.0001385181],"domain_scores_gemma":[0.9987442,0.0002525906,0.00009821334,0.0004152405,0.0004051276,0.00008454763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000309124,0.0001384834,0.0006119513,0.0003711723,0.00008860236,0.0002021676,0.00007682637,0.04102127,0.003024164,0.02911549,0.1820779,0.7429627],"study_design_scores_gemma":[0.0001344117,0.0001702729,0.001008556,0.00030176,0.00008573219,0.0004294367,0.0000555738,0.5990269,0.007557644,0.06550206,0.3256514,0.00007623754],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.007076685,0.006029112,0.8990744,0.002727658,0.002404702,0.0003332009,0.003982756,0.01508921,0.06328234],"genre_scores_gemma":[0.2798299,0.0100222,0.3871804,0.004237871,0.001763485,0.001459147,0.02768154,0.003786776,0.2840387],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0688749,"threshold_uncertainty_score":0.2304095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00855615106550311,"score_gpt":0.2149137112250286,"score_spread":0.2063575601595254,"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."}}