{"id":"W2398314932","doi":"","title":"The MSR.KM System for Entity Linking at TAC 2013.","year":2013,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"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":[0.004871338,0.0008094462,0.0006876742,0.004058345,0.000986338,0.003901312,0.00196286,0.001269998,0.0270424],"category_scores_gemma":[0.01391947,0.0007069221,0.0005748817,0.004338967,0.0002992515,0.004862394,0.002484253,0.001458721,0.03239138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016391,"about_ca_system_score_gemma":0.002965308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01562423,"about_ca_topic_score_gemma":0.014655,"domain_scores_codex":[0.997309,0.0008307971,0.000342271,0.0003481034,0.0009368469,0.0002330733],"domain_scores_gemma":[0.9938878,0.0009807888,0.0004157689,0.002530085,0.001621614,0.0005639595],"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":[0.000635292,0.0002474921,0.004496677,0.0004872333,0.0001390446,0.0001562057,0.0006293842,0.005235604,0.002969037,0.009609859,0.7678598,0.2075344],"study_design_scores_gemma":[0.0003991503,0.0001614021,0.01491334,0.0004419797,0.0001434431,0.000339594,0.000590747,0.07047185,0.01322039,0.02480645,0.8742371,0.0002745783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.02231857,0.0006925061,0.2084521,0.002607623,0.0005826232,0.0009042789,0.1940134,0.492633,0.07779591],"genre_scores_gemma":[0.1366495,0.0005985612,0.3433879,0.0007025432,0.0002177937,0.0009340137,0.4515177,0.02356328,0.04242865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0270424,"threshold_uncertainty_score":0.0904659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04564384244977663,"score_gpt":0.3415276340751875,"score_spread":0.2958837916254109,"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."}}