{"id":"W3041787762","doi":"10.24963/ijcai.2020/744","title":"Context Aware Sequence Modeling","year":2020,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Context model; Context (archaeology); Granularity; Feature (linguistics); Sentence; Data modeling; Sequence (biology); Artificial intelligence; Contextual design; Data science; Data mining; Machine learning; Database; Programming language","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":[0.0005927992,0.00120424,0.001052439,0.001359271,0.0005054301,0.00156457,0.001752766,0.001095393,0.005842345],"category_scores_gemma":[0.002980973,0.0006353402,0.001796037,0.001483022,0.0004484297,0.002361554,0.001286093,0.001498612,0.00192484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008421928,"about_ca_system_score_gemma":0.001641535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0113402,"about_ca_topic_score_gemma":0.01302099,"domain_scores_codex":[0.9991487,0.0002018717,0.00005102149,0.0002821499,0.0002271701,0.00008912481],"domain_scores_gemma":[0.9992064,0.00033205,0.00007488392,0.0001595479,0.0001808716,0.000046313],"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":[0.0001938904,0.0001505766,0.002803052,0.0003303292,0.0002004316,0.0004298734,0.0002734135,0.6414776,0.006920033,0.132856,0.009936677,0.2044281],"study_design_scores_gemma":[0.00000610801,0.000019933,0.0001641269,0.00001904287,0.00002155715,0.00006609302,0.00002201499,0.9597515,0.0009741302,0.03313341,0.00581218,0.000009849893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005154616,0.0008138519,0.9873946,0.0002032863,0.0001139013,0.00008500044,0.0006796226,0.001296514,0.004258678],"genre_scores_gemma":[0.4717902,0.003261255,0.500548,0.0005092243,0.0002854465,0.0005477996,0.005210845,0.0006034994,0.0172438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0113402,"threshold_uncertainty_score":0.02254838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1686468363097001,"score_gpt":0.2826054880780864,"score_spread":0.1139586517683863,"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."}}