{"id":"W2983041270","doi":"10.18280/ts.360402","title":"Generating Random Numbers from Biological Signals in LabVIEW Environment and Statistical Analysis","year":2019,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Statistical analysis; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002334246,0.0006748649,0.0004374358,0.0007634996,0.0002296155,0.0008082888,0.0006929936,0.0003631964,0.00251935],"category_scores_gemma":[0.007536579,0.0002447078,0.0003945583,0.0005533303,0.0004359004,0.0007404347,0.0004099579,0.0007172238,0.0007910226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002518792,"about_ca_system_score_gemma":0.0004187544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000468715,"about_ca_topic_score_gemma":0.0003844619,"domain_scores_codex":[0.9986904,0.000535014,0.00009275258,0.0002193678,0.000400848,0.00006155235],"domain_scores_gemma":[0.9971821,0.001818665,0.0002109191,0.0003460097,0.0004023448,0.0000399716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006543803,0.0002324397,0.006304031,0.0005684232,0.0001873875,0.0006967158,0.0005936228,0.2832272,0.06434283,0.03727455,0.008472341,0.597446],"study_design_scores_gemma":[0.00005400612,0.0001976131,0.001238127,0.00002828225,0.00002106978,0.0003462054,0.00004392459,0.9330729,0.04853389,0.0099123,0.006507012,0.00004467459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005441189,0.00003876632,0.9913046,0.00003294111,0.00001730876,0.0000544658,0.00006585223,0.002601584,0.0004432479],"genre_scores_gemma":[0.2221503,0.0001682713,0.7745788,0.00006767306,0.00002635137,0.0006612849,0.0004941401,0.0004569363,0.001396306],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00251935,"threshold_uncertainty_score":0.01234484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750220091416922,"score_gpt":0.2360066360652788,"score_spread":0.2185044351511096,"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."}}