{"id":"W2805241394","doi":"","title":"Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches.","year":2015,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Schema (genetic algorithms); Computer science; Information retrieval","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":[0.008541439,0.00100894,0.001794894,0.005660231,0.001840652,0.005474701,0.004593896,0.001822442,0.005398711],"category_scores_gemma":[0.03581939,0.001561464,0.003384541,0.007123439,0.001957824,0.01447143,0.006728796,0.002816088,0.002817328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108934,"about_ca_system_score_gemma":0.003750972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004838099,"about_ca_topic_score_gemma":0.00932504,"domain_scores_codex":[0.9943233,0.002411536,0.0006374032,0.001248773,0.00109276,0.0002863821],"domain_scores_gemma":[0.9772803,0.01304463,0.000667378,0.006136049,0.002401826,0.0004699118],"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":[0.0005139296,0.0004158332,0.003675633,0.002247697,0.0006622768,0.0005816778,0.004179651,0.02618417,0.005915412,0.1649774,0.02979843,0.7608478],"study_design_scores_gemma":[0.0001606057,0.0002211774,0.001391548,0.001139924,0.0008575076,0.0008253942,0.003231281,0.3340572,0.02150741,0.543681,0.09276173,0.0001651592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007285734,0.0008674259,0.9853078,0.0003186751,0.00006744213,0.0002538096,0.001568587,0.002582098,0.001748463],"genre_scores_gemma":[0.05631335,0.0005903293,0.9360808,0.0001768816,0.00004641555,0.0003184009,0.004990445,0.000338453,0.001145053],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008541439,"threshold_uncertainty_score":0.04517198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03856681738170496,"score_gpt":0.2442142812051495,"score_spread":0.2056474638234446,"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."}}