{"id":"W2492585692","doi":"10.1007/978-3-642-30353-1","title":"Advances in Artificial Intelligence","year":2012,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Concordia University","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.0007850481,0.001217376,0.001318983,0.001788651,0.0006495669,0.003531601,0.001073715,0.001092818,0.05297996],"category_scores_gemma":[0.00170647,0.0004760805,0.000472578,0.00268949,0.001316605,0.004356419,0.002109103,0.002720468,0.03476092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008984926,"about_ca_system_score_gemma":0.001095237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004613567,"about_ca_topic_score_gemma":0.001017664,"domain_scores_codex":[0.9993317,0.0001010109,0.0000326146,0.00008627083,0.0004025505,0.0000458615],"domain_scores_gemma":[0.9993418,0.0002636035,0.00003428802,0.0001559798,0.0001355081,0.00006884671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002553724,0.00005845087,0.0001347726,0.0007395431,0.00002926547,0.00005188475,0.0001828356,0.0006460826,0.000939887,0.14949,0.2968379,0.5508638],"study_design_scores_gemma":[0.000005286992,0.00001750847,0.0002233636,0.0002579246,0.00001070261,0.00009792468,0.00004802597,0.0006413593,0.0002532016,0.05448905,0.94395,0.000005640407],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001533342,0.2173931,0.04119772,0.007594978,0.0101377,0.00007790222,0.0003054134,0.0008001729,0.7209597],"genre_scores_gemma":[0.02052927,0.1677455,0.02650332,0.002705941,0.005494599,0.0001413243,0.000695698,0.0004617256,0.7757226],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05297996,"threshold_uncertainty_score":0.1772356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755752909629042,"score_gpt":0.294801400818705,"score_spread":0.2772438717224146,"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."}}