{"id":"W4229739555","doi":"10.3138/flor.26.002","title":"Introduction","year":2009,"lang":"en","type":"article","venue":"Florilegium","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Lemmatisation; Milestone; Alphabet; Computer science; Closing (real estate); Point (geometry); Transparency (behavior); Linguistics; Artificial intelligence; Natural language processing; History; Mathematics; Law; Archaeology; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004004606,0.00006239882,0.0000629102,0.00004460721,0.0001869527,0.00006077143,0.00004721623,0.00001211541,0.003259993],"category_scores_gemma":[0.000009877896,0.00004908971,0.00004963246,0.00002520092,0.00005900718,0.0001437734,0.000005587947,0.00005487701,0.0001763031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005951197,"about_ca_system_score_gemma":0.000003163977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001710617,"about_ca_topic_score_gemma":0.00004146511,"domain_scores_codex":[0.9996307,0.000008368197,0.00006773445,0.0001065446,0.00007092076,0.0001157678],"domain_scores_gemma":[0.9998151,0.000004832095,0.00001894589,0.0001061279,0.00003577787,0.00001922725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005969906,0.00001739174,0.000004303176,0.000001768982,0.000007836385,0.000001666687,0.01317121,7.703729e-7,0.000003461795,0.3729033,0.6129882,0.0008941466],"study_design_scores_gemma":[0.00007413689,0.0000711457,0.0002363284,0.000002297575,0.000007710378,0.00000102698,0.00145633,0.000005349168,0.00001182898,0.003696367,0.9943658,0.00007172588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008902533,0.0007826973,0.0003427383,0.01730869,0.137354,0.0001607345,0.00001580916,0.0004814816,0.8346513],"genre_scores_gemma":[0.5735573,0.00001220306,0.0001917923,0.001441145,0.3972332,0.000006900695,0.00001699291,0.000007388921,0.02753303],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8071182,"threshold_uncertainty_score":0.9976512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150052961661699,"score_gpt":0.2010032625695052,"score_spread":0.1895027329528882,"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."}}