{"id":"W2970060558","doi":"","title":"Ordered Memory","year":2019,"lang":"en","type":"article","venue":"Neural Information Processing Systems","topic":"Topic Modeling","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Treebank; Inference; Recurrent neural network; Artificial intelligence; Task (project management); Representation (politics); Tree (set theory); Machine learning; Theoretical computer science; Artificial neural network; Natural language processing; Annotation","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":[],"consensus_categories":[],"category_scores_codex":[0.0002904908,0.0008725471,0.0005939071,0.0004326389,0.000375911,0.001120013,0.002024236,0.0007614227,0.01234456],"category_scores_gemma":[0.001401165,0.0003443469,0.0006589367,0.0005831837,0.0005418566,0.003253275,0.0009600858,0.001057024,0.003405262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005811661,"about_ca_system_score_gemma":0.0008026991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004372366,"about_ca_topic_score_gemma":0.009343578,"domain_scores_codex":[0.9998055,0.00002033658,0.00001457197,0.00008152783,0.00003776032,0.00004035974],"domain_scores_gemma":[0.999593,0.0000988243,0.00004574506,0.0001322076,0.000100845,0.00002942103],"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":[0.0005950169,0.0002551243,0.003542808,0.0004503454,0.0001855989,0.0004910905,0.0002779647,0.1820011,0.02730383,0.1264789,0.02889665,0.6295216],"study_design_scores_gemma":[0.0000288658,0.0001338785,0.0005325081,0.00003463789,0.00006623042,0.0001638496,0.00004529337,0.8892463,0.01199048,0.08575843,0.01196721,0.00003235885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0775162,0.001830501,0.8858553,0.0008905049,0.0005394128,0.0001020368,0.001774627,0.008005511,0.02348591],"genre_scores_gemma":[0.8224103,0.001148157,0.1329703,0.0006076319,0.0001779376,0.0001732317,0.002673596,0.0004761095,0.03936278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01234456,"threshold_uncertainty_score":0.04129672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587798405192172,"score_gpt":0.2317990124450746,"score_spread":0.2159210283931529,"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."}}