{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003891605,0.001211722,0.001367449,0.005009288,0.001456085,0.005080661,0.004561116,0.001740133,0.01622733],"category_scores_gemma":[0.02050244,0.001251013,0.001150995,0.003295984,0.0007670062,0.008725297,0.005396302,0.003103226,0.01480212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008659352,"about_ca_system_score_gemma":0.00242562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006503,"about_ca_topic_score_gemma":0.010104,"domain_scores_codex":[0.9980733,0.0004168299,0.0001439944,0.0005744349,0.0006904572,0.000100979],"domain_scores_gemma":[0.9910336,0.003927965,0.0003305768,0.002944327,0.001398823,0.0003647715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005036519,0.0005555679,0.002635227,0.001178117,0.0004031287,0.0007779793,0.0008765741,0.02077449,0.01080864,0.02399621,0.1421073,0.7953831],"study_design_scores_gemma":[0.0002492368,0.0003954582,0.002490229,0.0007073631,0.0004134813,0.001257862,0.0008530744,0.3294195,0.02888495,0.0927654,0.5422645,0.0002988887],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00486902,0.000595451,0.9111505,0.0006990643,0.0001299777,0.0005520783,0.006466614,0.06523614,0.01030115],"genre_scores_gemma":[0.052811,0.0009647858,0.8982256,0.001049254,0.0001098814,0.0007096223,0.03139924,0.005046335,0.00968422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01622733,"threshold_uncertainty_score":0.05428582,"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."}}