{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001080603,0.0007730209,0.0003028743,0.0008334689,0.001323959,0.002458239,0.00105437,0.001274212,0.1161221],"category_scores_gemma":[0.008820917,0.0003033972,0.000521194,0.0006964416,0.001547364,0.006148343,0.002097152,0.001820245,0.03213313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006388135,"about_ca_system_score_gemma":0.0005772669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006774537,"about_ca_topic_score_gemma":0.001616412,"domain_scores_codex":[0.9993686,0.000220704,0.00002804652,0.0001746675,0.0001552558,0.00005284332],"domain_scores_gemma":[0.9986577,0.0005787698,0.00006916021,0.0003639057,0.0002202324,0.0001101652],"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":[0.0001977277,0.00009543591,0.002196397,0.0003556959,0.00002696971,0.0003061626,0.001437873,0.001858008,0.001296922,0.3855493,0.3213144,0.2853652],"study_design_scores_gemma":[0.00002150797,0.00006507182,0.0007252423,0.000132246,0.00001271096,0.0006296776,0.0004906851,0.01095894,0.001581239,0.1300685,0.8552839,0.00003036383],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02322452,0.002272196,0.3411323,0.01782939,0.004351472,0.0005109404,0.006040438,0.0119863,0.5926524],"genre_scores_gemma":[0.3186084,0.002874767,0.1750045,0.006577624,0.001109447,0.000585074,0.00913579,0.003100134,0.4830044],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8838779,"threshold_uncertainty_score":0,"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."}}