{"id":"W2184546122","doi":"","title":"PRIS at Knowledge Base Population 2013","year":2013,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bootstrapping (finance); Computer science; Ranking (information retrieval); Task (project management); Knowledge base; Entity linking; Population; Similarity (geometry); Base (topology); Artificial intelligence; Data mining; Information retrieval; Natural language processing; Machine learning; Mathematics; Image (mathematics); Engineering","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":[0.002983205,0.001161752,0.001534477,0.005662848,0.00229669,0.004303693,0.003615455,0.001781364,0.01919715],"category_scores_gemma":[0.01409798,0.0009823247,0.002088725,0.004936587,0.0007713851,0.005271608,0.005031641,0.003461857,0.009132267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001846754,"about_ca_system_score_gemma":0.003558046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005560142,"about_ca_topic_score_gemma":0.007623017,"domain_scores_codex":[0.996351,0.0006651197,0.0002256443,0.001189139,0.001201708,0.000367342],"domain_scores_gemma":[0.9961817,0.001092155,0.0001937961,0.001242293,0.00103992,0.0002501584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003757581,0.0003705805,0.003532964,0.0002837794,0.0001723428,0.0003970398,0.0004935038,0.01558329,0.005678293,0.04095159,0.05923098,0.8729299],"study_design_scores_gemma":[0.0002345182,0.0003585998,0.00531552,0.0002602803,0.0003704526,0.001303661,0.001066315,0.5200626,0.0246582,0.1976425,0.248523,0.0002044656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01820263,0.0005022482,0.9421455,0.0009207582,0.000303575,0.001393432,0.00369749,0.01426685,0.01856755],"genre_scores_gemma":[0.1682044,0.0003840804,0.7787036,0.0007867005,0.0002592386,0.001734382,0.0205858,0.001912814,0.02742905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01919715,"threshold_uncertainty_score":0.06422085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007412972671835042,"score_gpt":0.2606132115266101,"score_spread":0.2532002388547751,"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."}}