{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007655152,0.00009971486,0.0001533815,0.0000434266,0.0007520432,0.0001572094,0.0004703652,0.00004902578,8.763057e-7],"category_scores_gemma":[0.00002787722,0.00009083487,0.00003692203,0.00003243091,0.0001244405,0.0002638315,0.0001648004,0.0000559048,0.000001537294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001937499,"about_ca_system_score_gemma":0.0000268892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001833816,"about_ca_topic_score_gemma":0.000006989394,"domain_scores_codex":[0.9992306,0.00003538043,0.0002358505,0.000272117,0.0000964765,0.000129634],"domain_scores_gemma":[0.9987286,0.0001241723,0.0002433185,0.0007524546,0.00009824066,0.00005318215],"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":[0.00001253651,0.00001987252,0.00007519583,0.0001492447,0.00001756268,1.490245e-7,0.0006858491,0.0000726343,0.000657938,0.881944,0.000009681248,0.1163554],"study_design_scores_gemma":[0.0007689449,0.0001182689,0.001789167,0.0001261231,0.00008062775,0.0000382427,0.001252567,0.02142123,0.06283861,0.8960739,0.0151163,0.0003759744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03360941,0.0006907419,0.9644282,0.0002445757,0.00008468059,0.0004795737,0.000006219108,0.00005291142,0.0004036626],"genre_scores_gemma":[0.9942621,0.00006252007,0.004947786,0.00001329208,0.0001012943,0.0003887181,0.00000222841,0.000005896467,0.00021619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9606526,"threshold_uncertainty_score":0.5784184,"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."}}