{"id":"W2807345617","doi":"","title":"RPI BLENDER TAC-KBP2015 system description","year":2015,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":17,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008107902,0.001209357,0.001082018,0.001323086,0.0006701139,0.002064748,0.003032352,0.0009902546,0.09107592],"category_scores_gemma":[0.002272215,0.0006958864,0.0006491839,0.00112009,0.000326279,0.00208894,0.001552401,0.001348181,0.07234047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008713047,"about_ca_system_score_gemma":0.00120998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006089265,"about_ca_topic_score_gemma":0.004267308,"domain_scores_codex":[0.9992756,0.0000881807,0.00005922329,0.0001594564,0.0003155798,0.000101971],"domain_scores_gemma":[0.9992955,0.00008696165,0.00003282651,0.0002525339,0.0002721521,0.0000599642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00213866,0.0003123877,0.001733427,0.001987718,0.0001495881,0.0003312299,0.0002022707,0.0281411,0.03035188,0.01398254,0.7303955,0.1902737],"study_design_scores_gemma":[0.0006170764,0.0003031365,0.002181097,0.0001764029,0.000144217,0.0005120907,0.00006628321,0.1458552,0.04634908,0.01251877,0.7910867,0.0001900027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.01982009,0.001413935,0.2578131,0.0007327796,0.0005217451,0.001678005,0.1250487,0.4720611,0.1209106],"genre_scores_gemma":[0.1571026,0.001359151,0.2647703,0.001454014,0.0002483475,0.003362661,0.4171982,0.05049625,0.1040085],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.09107592,"threshold_uncertainty_score":0.3046793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02160393380966942,"score_gpt":0.2534892568962807,"score_spread":0.2318853230866113,"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."}}