{"id":"W2805261386","doi":"","title":"DRAFT – Cold Start Knowledge Base Population with the Knowledge Resolver System for TAC-KBP 2015 – DRAFT.","year":2015,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Resolver; Knowledge base; Population; Computer science; Medicine; Telecommunications; Artificial intelligence","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":[0.001362739,0.0001338265,0.000177609,0.00008569154,0.0003089599,0.00009417715,0.0004841195,0.00005568147,8.194683e-7],"category_scores_gemma":[0.00003022829,0.00009175873,0.00003141306,0.0003787798,0.0001742792,0.0002357946,0.0001245426,0.00006661884,0.000005312645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003690702,"about_ca_system_score_gemma":0.0001240188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001545732,"about_ca_topic_score_gemma":0.00001355022,"domain_scores_codex":[0.9990904,0.0001634988,0.0002188146,0.0002566829,0.0001088655,0.0001616781],"domain_scores_gemma":[0.9983723,0.0003694305,0.0001607472,0.0005623775,0.0004497215,0.00008538496],"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":[0.00004372612,0.00005031949,0.00005372128,0.00006371022,0.00001355936,7.734413e-8,0.001386177,0.0004495495,0.00004726542,0.9925483,0.003432085,0.00191149],"study_design_scores_gemma":[0.003568274,0.001366496,0.0006138722,0.0002950114,0.0002791563,0.00005063058,0.007178694,0.1163375,0.03940644,0.4667907,0.3625395,0.001573739],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001687102,0.001208295,0.9912723,0.0003159748,0.00004313192,0.0007192573,0.00001089644,0.0002934462,0.004449639],"genre_scores_gemma":[0.9764854,0.00001025169,0.02156975,0.000027937,0.00008422884,0.0004522303,0.00002151595,0.00001239685,0.001336324],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9747983,"threshold_uncertainty_score":0.3741813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710269696056475,"score_gpt":0.2730996170518621,"score_spread":0.2559969200912973,"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."}}