{"id":"W2403380339","doi":"","title":"Cross-Language Entity Linking in Maryland during a Hurricane.","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Task (project management); Natural language processing; Machine translation; Artificial intelligence; Transliteration; Software; Measure (data warehouse); Information retrieval; Data mining; Programming language","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":[0.0003726719,0.00007077235,0.00009965325,0.0001029033,0.00008778505,0.00004688669,0.0004326043,0.00004021884,0.00001400578],"category_scores_gemma":[0.00002243114,0.00006290093,0.00001616084,0.0002853133,0.0001649433,0.0003290972,0.0001830901,0.00009458468,0.000001530036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008615064,"about_ca_system_score_gemma":0.00001643481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007572912,"about_ca_topic_score_gemma":0.000009435384,"domain_scores_codex":[0.9994618,0.00003714946,0.00015004,0.000175504,0.00006669019,0.0001088539],"domain_scores_gemma":[0.9994955,0.00005657143,0.00007862876,0.0003059217,0.00003866737,0.00002470202],"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":[0.00001742642,0.00003296585,0.004267005,0.00007040215,0.000003142635,0.000002215563,0.004274794,1.923111e-7,0.005260464,0.9628891,5.788016e-7,0.02318175],"study_design_scores_gemma":[0.0001183585,0.00001340596,0.005475447,0.00002284294,0.000003482891,0.00001263199,0.0002212941,0.00001695769,0.1826886,0.8112621,0.00005662614,0.0001082905],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6232252,0.004381625,0.369492,0.00002132769,0.00001659173,0.0002113181,0.000003059888,0.0002219146,0.002427064],"genre_scores_gemma":[0.9653502,0.0000348121,0.03437547,0.00001764459,0.00001588032,0.00005928665,0.000001857932,0.000004079582,0.0001407834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3421251,"threshold_uncertainty_score":0.2565025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00806790300983532,"score_gpt":0.2635963014563376,"score_spread":0.2555283984465023,"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."}}