{"id":"W3092182798","doi":"10.48550/arxiv.2010.03753","title":"Uncertainty in Neural Processes","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Inference; Pooling; Artificial intelligence; Posterior probability; Machine learning; Probabilistic logic; Predictive inference; Bayesian inference; Bayesian probability; Frequentist 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001223052,0.0002846635,0.0003395769,0.0001456812,0.00008269303,0.0001501256,0.001665129,0.0001688161,0.00002053896],"category_scores_gemma":[0.0001135452,0.0003106151,0.0001218884,0.0009769257,0.00007381641,0.0004067915,0.001751072,0.0005120611,0.00004010544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198843,"about_ca_system_score_gemma":0.0003033414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002926022,"about_ca_topic_score_gemma":0.0002744227,"domain_scores_codex":[0.9981536,0.0001698718,0.0001787763,0.001096547,0.00007609829,0.0003251575],"domain_scores_gemma":[0.9988132,0.0001166371,0.000154096,0.000633574,0.0001394786,0.0001430102],"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":[0.00001789382,0.00003964708,0.0008599873,0.00007040722,0.00002451772,0.000325116,0.0002323771,0.9914843,0.00001919491,0.005465681,0.0003578121,0.001103049],"study_design_scores_gemma":[0.0002519415,0.00003229396,0.0006637683,0.00005404712,0.00001695591,0.000001184328,0.00004622767,0.9825214,0.00009183397,0.01540874,0.0005758821,0.0003357068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04152574,0.0001847258,0.9540877,0.00105043,0.0005946108,0.0003184766,0.00001186256,0.0002069611,0.002019442],"genre_scores_gemma":[0.9978033,0.0001293264,0.001407705,0.0002744517,0.000131529,0.000001185007,0.000009196943,0.00001212386,0.0002312084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9562775,"threshold_uncertainty_score":0.9999346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08180014671703624,"score_gpt":0.1886133257642282,"score_spread":0.1068131790471919,"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."}}