{"id":"W2805986796","doi":"","title":"BUPT-PRIS System for TAC 2017 Event Nugget Detection, Event Argument Linking and ADR Tracks.","year":2017,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Argument (complex analysis); Event (particle physics); Computer science; Event data; Real-time computing; Medicine; Physics; Internal medicine","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":[0.001563065,0.001628347,0.001255821,0.00440304,0.0007239008,0.002784914,0.001909067,0.001527653,0.08426894],"category_scores_gemma":[0.007684506,0.000711348,0.001069022,0.001991684,0.0003409937,0.004048262,0.003032692,0.001374897,0.07377339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006303982,"about_ca_system_score_gemma":0.001237526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003612683,"about_ca_topic_score_gemma":0.006198328,"domain_scores_codex":[0.9988933,0.0001603529,0.0001250868,0.0003739498,0.0003499354,0.0000973471],"domain_scores_gemma":[0.9976803,0.0007016708,0.0002151137,0.0006411662,0.0005911473,0.0001705444],"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":[0.001145506,0.0001653909,0.005222846,0.001083765,0.0002514758,0.000471533,0.0006587007,0.001700071,0.008071928,0.004842344,0.7763961,0.1999904],"study_design_scores_gemma":[0.0004948622,0.0002639587,0.01257696,0.0003485741,0.0002850861,0.00100869,0.0007565577,0.1215471,0.03642727,0.0220301,0.8039922,0.0002685876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.009389588,0.0006858165,0.1329659,0.0004091797,0.0005814796,0.0006408824,0.134122,0.6946368,0.02656827],"genre_scores_gemma":[0.09978989,0.0005686809,0.2947479,0.0007598037,0.0006446839,0.002027056,0.5103928,0.03774135,0.05332777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08426894,"threshold_uncertainty_score":0.2819077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393173551424295,"score_gpt":0.2694395613082722,"score_spread":0.2555078257940293,"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."}}