{"id":"W2807013141","doi":"","title":"Distributed Neural Embedding for Event Nugget Extraction.","year":2015,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Extraction (chemistry); Embedding; Computer science; Event (particle physics); Artificial intelligence; Chromatography; Chemistry; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009902886,0.0009081569,0.0009716118,0.002596092,0.0005107426,0.001061231,0.001396726,0.001191204,0.003489982],"category_scores_gemma":[0.004132834,0.0003356708,0.0008030472,0.003103533,0.0003440031,0.002709916,0.001363816,0.00155703,0.002515349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000552446,"about_ca_system_score_gemma":0.0007679533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003490426,"about_ca_topic_score_gemma":0.007054427,"domain_scores_codex":[0.9993561,0.0001728859,0.00005451944,0.0002187614,0.0001116754,0.00008605477],"domain_scores_gemma":[0.9987729,0.0006272029,0.00009666119,0.0002552407,0.0001980633,0.00004982359],"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":[0.0006775597,0.0003421885,0.003545376,0.0004954242,0.0002031564,0.0002229141,0.0002345098,0.04448191,0.009273128,0.01800527,0.03611052,0.8864081],"study_design_scores_gemma":[0.00002755962,0.00007219676,0.00203685,0.00006321379,0.0000803056,0.0001521371,0.0001368462,0.9362999,0.00496076,0.04499243,0.01115212,0.00002572794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0346969,0.003110805,0.9483743,0.0006160536,0.000405743,0.0001665052,0.003788139,0.004735273,0.00410628],"genre_scores_gemma":[0.6297065,0.001890536,0.3348914,0.000277666,0.0005922377,0.0003790846,0.01735739,0.0004739334,0.01443122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003490426,"threshold_uncertainty_score":0.01167512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02367018511670311,"score_gpt":0.30738786557704,"score_spread":0.2837176804603369,"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."}}