{"id":"W3212694181","doi":"","title":"Clockwork Variational Autoencoders","year":2021,"lang":"en","type":"article","venue":"Neural Information Processing Systems","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Clockwork; Computer science; Artificial intelligence; Benchmark (surveying); Abstraction; Hierarchy; Machine learning; Term (time); Pattern recognition (psychology)","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000210484,0.0001128402,0.0001320242,0.00006746174,0.0002963244,0.001276176,0.0002816456,0.00005743345,0.00001362784],"category_scores_gemma":[0.00008784827,0.0001022834,0.00004508622,0.000509565,0.00001771247,0.004730709,0.00008191619,0.00009876495,0.00007250543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004333365,"about_ca_system_score_gemma":0.0002051947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001294409,"about_ca_topic_score_gemma":9.786557e-7,"domain_scores_codex":[0.9988359,0.00008417141,0.0003865886,0.0001539378,0.0003405428,0.0001989174],"domain_scores_gemma":[0.9989992,0.00004318742,0.0002116832,0.000216685,0.0004637188,0.00006548038],"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":[0.000005424025,0.00003253459,0.0002123342,0.0001567182,0.00002722817,0.000009324499,0.002516409,0.8169525,0.0003011621,0.03619929,0.01125837,0.1323287],"study_design_scores_gemma":[0.0001430759,0.000009356185,0.0003353585,0.00003544689,0.000003409367,0.00004533337,0.0001521174,0.9729714,0.0002917924,0.0001867819,0.02570165,0.000124305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002070608,0.0002862825,0.9912028,0.001213255,0.001252454,0.00008831304,0.000002465442,0.0001739852,0.005573403],"genre_scores_gemma":[0.9587415,0.000005779851,0.03943944,0.00106091,0.0002687009,0.00002407186,0.00003102177,0.000005058968,0.0004235423],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9585344,"threshold_uncertainty_score":0.9997606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130930836083443,"score_gpt":0.2217111645024027,"score_spread":0.2086180808940584,"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."}}