{"id":"W2807617704","doi":"","title":"CMU System for Entity Discovery and Linking at TAC-KBP 2015.","year":2015,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.004726045,0.00007574284,0.0001801739,0.00007360596,0.0002178573,0.0001916311,0.0002933029,0.00003435111,0.000005887462],"category_scores_gemma":[0.0002854101,0.00005673791,0.00002939106,0.0001589262,0.0003002655,0.0004782567,0.0003085993,0.00002919897,0.00001676655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001564652,"about_ca_system_score_gemma":0.00002371113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001926985,"about_ca_topic_score_gemma":0.00002538708,"domain_scores_codex":[0.9989535,0.0001263866,0.0003106961,0.0002486044,0.0002610492,0.0000997831],"domain_scores_gemma":[0.9982312,0.0009296532,0.0001767226,0.0004442827,0.0001511387,0.00006695321],"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":[0.00007612325,0.0000194217,0.0003265596,0.00006981269,0.00001264309,9.232561e-8,0.000514173,0.000005528458,0.00007219721,0.9857328,0.001767241,0.01140344],"study_design_scores_gemma":[0.0002483399,0.00003870724,0.0002845541,0.0000102833,0.00003014149,0.000002805182,0.009713984,0.000028676,0.001519299,0.8375856,0.1504509,0.00008661961],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1652591,0.001654265,0.8230833,0.0007143017,0.0001721469,0.0009529816,0.000374607,0.0000571793,0.007732021],"genre_scores_gemma":[0.994766,0.00003683205,0.0005034581,0.00004562826,0.00006464319,0.0001517545,0.00004411753,0.000004420537,0.004383157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8295069,"threshold_uncertainty_score":0.2313705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07956800820654318,"score_gpt":0.3750757211903893,"score_spread":0.2955077129838461,"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."}}