{"id":"W2805545340","doi":"","title":"Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems","year":2015,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Filler (materials); Event (particle physics); Computer science; Materials science; Composite material; Physics","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":[0.02289803,0.0007991639,0.0009313293,0.005412103,0.004091646,0.01059334,0.002864421,0.002835401,0.03241226],"category_scores_gemma":[0.03229886,0.0008293245,0.0007259051,0.004055378,0.003577336,0.008891108,0.004479158,0.004031825,0.009967902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007282648,"about_ca_system_score_gemma":0.01386429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06889508,"about_ca_topic_score_gemma":0.08956748,"domain_scores_codex":[0.9889947,0.004023369,0.0005718762,0.001391024,0.004357618,0.0006614691],"domain_scores_gemma":[0.9665582,0.01161866,0.001018318,0.009862649,0.009451615,0.001490522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008277404,0.0003170133,0.00577967,0.0001795693,0.00005190887,0.0001344784,0.0005775127,0.01571972,0.001850204,0.2123737,0.4470986,0.3150898],"study_design_scores_gemma":[0.0001670914,0.0001587352,0.00369007,0.0002692206,0.00006763639,0.0001540445,0.0004079689,0.1643116,0.01013417,0.1509707,0.6695132,0.0001556226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03004555,0.001677173,0.5847348,0.02843505,0.003117147,0.001947262,0.01729535,0.04485361,0.287894],"genre_scores_gemma":[0.3367034,0.001212696,0.3962431,0.004174945,0.0009533696,0.00135387,0.03732946,0.003797126,0.2182321],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06889508,"threshold_uncertainty_score":0.1369881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06286482228217304,"score_gpt":0.3615397717770031,"score_spread":0.2986749494948301,"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."}}