{"id":"W2402585298","doi":"","title":"Off to a cold start: New York University's 2013 knowledge base population systems","year":2013,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cold start (automotive); Base (topology); Population; Computer science; Knowledge base; Operations research; Mathematics; Engineering; Demography; Artificial intelligence; Sociology","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":[0.0002075386,0.00006691497,0.0001005088,0.0000829792,0.0001102988,0.00005907821,0.0003169873,0.00003187468,0.00001188935],"category_scores_gemma":[0.000008224151,0.00006640262,0.00001575816,0.0002614263,0.00003215469,0.0002726813,0.0001023549,0.00003616632,0.00005732225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001841775,"about_ca_system_score_gemma":0.0000442645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007480906,"about_ca_topic_score_gemma":0.0000242921,"domain_scores_codex":[0.9994715,0.00005892637,0.000123466,0.0001788056,0.00006307445,0.0001042159],"domain_scores_gemma":[0.9992648,0.0001052322,0.0000559824,0.0003905411,0.00008065313,0.0001027664],"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":[0.000002936292,0.00001343633,0.00007433179,0.00001651315,0.000004479806,4.86322e-8,0.0006299833,0.0003831552,0.0002924046,0.9834059,0.0009431632,0.01423365],"study_design_scores_gemma":[0.0006744665,0.0001276823,0.002128948,0.00007464222,0.00005095066,0.000007345021,0.004663754,0.03416054,0.002490114,0.728647,0.2263471,0.000627502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03689129,0.0008192734,0.9593446,0.0003848188,0.00005079103,0.0005099301,0.000003230921,0.00007715692,0.001918869],"genre_scores_gemma":[0.9901166,0.00001573227,0.00529358,0.00002432355,0.00005474724,0.00002919226,0.000003283517,0.000003780759,0.004458793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9540511,"threshold_uncertainty_score":0.2707821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512373262703934,"score_gpt":0.2191008455124284,"score_spread":0.2039771128853891,"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."}}