{"id":"W4312990730","doi":"10.14778/3554821.3554858","title":"POEM","year":2022,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Artificial intelligence; Poetry; Image (mathematics); Convolutional neural network; Inference; Modular design; Bedroom; Deep learning; Pattern recognition (psychology); Machine learning; Art; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.000124518,0.00006671644,0.00007329701,0.0000321426,0.0002838061,0.00002085658,0.001547541,0.000007002151,0.0000176204],"category_scores_gemma":[0.00001137524,0.00005059709,0.00005613212,0.0005354285,0.00002652726,0.0001453117,0.001569673,0.000123238,0.000004760373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007228728,"about_ca_system_score_gemma":0.00001275245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003549028,"about_ca_topic_score_gemma":1.449098e-7,"domain_scores_codex":[0.9991697,0.000004042843,0.0001409162,0.0002029101,0.000326633,0.0001557799],"domain_scores_gemma":[0.9995645,0.00002125261,0.0001481129,0.0001893544,0.00004637488,0.00003043079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006045464,0.0001286388,0.0009461279,0.00001245434,0.00001413265,2.554929e-7,0.000555896,0.001158648,0.05764432,0.909279,0.01722652,0.0130279],"study_design_scores_gemma":[0.0008953139,0.0002904406,0.004127847,0.00002312884,0.00002527738,0.0001159156,0.000419084,0.01826537,0.3320203,0.2867206,0.3566057,0.0004909401],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6240905,0.00149683,0.06292016,0.1140535,0.003501635,0.006289776,0.00004192942,0.001733908,0.1858717],"genre_scores_gemma":[0.986137,0.000007770871,0.01215396,0.0005212951,0.00002865602,0.0002450434,1.892963e-7,0.000006085034,0.0009000435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6225584,"threshold_uncertainty_score":0.2875742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297182559141122,"score_gpt":0.225966458898458,"score_spread":0.2129946333070468,"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."}}