{"id":"W2189491602","doi":"","title":"Lorify: A Knowledge Base from Scratch","year":2012,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Knowledge base; Scalability; Entity linking; Coreference; Cluster analysis; Base (topology); Component (thermodynamics); Task (project management); Population; Scaling; Markov chain; Scratch; Data mining; Artificial intelligence; Theoretical computer science; Machine learning; Database; Programming language; Resolution (logic); Engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004239196,0.00006284186,0.00008899831,0.00003603104,0.00008919981,0.00002429228,0.0002966797,0.00003137009,0.00001785597],"category_scores_gemma":[0.00001750701,0.00005604618,0.00001772628,0.0001548497,0.0000884433,0.0003040187,0.0001279825,0.00004956772,0.00002837964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000564364,"about_ca_system_score_gemma":0.00002577124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001835399,"about_ca_topic_score_gemma":0.00000128333,"domain_scores_codex":[0.9995173,0.00005039707,0.0001203051,0.0001319214,0.0000528175,0.0001272626],"domain_scores_gemma":[0.9991922,0.0002170253,0.00004466658,0.0004363316,0.00004328998,0.00006642255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002733991,0.00003676398,0.0003149962,0.000007295946,0.000005344451,2.371175e-8,0.001738145,0.000001747832,0.0005412335,0.9466772,0.00005447994,0.05062001],"study_design_scores_gemma":[0.00008733365,0.000006492936,0.0003767342,0.000004191796,0.00001012199,6.223014e-7,0.000379319,0.0006054102,0.0119095,0.9798506,0.006681121,0.00008850402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03882944,0.00241848,0.9537112,0.0001575421,0.00005747273,0.0001015124,0.000003818216,0.00005819925,0.004662331],"genre_scores_gemma":[0.9855026,0.00002730844,0.01391951,0.00006272869,0.0001494317,0.00007043139,0.000003276501,0.000003618529,0.000261083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9466732,"threshold_uncertainty_score":0.2285497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683638553064825,"score_gpt":0.2596367593061633,"score_spread":0.2428003737755151,"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."}}