{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001845925,0.001006182,0.0007708347,0.001436736,0.003498736,0.008019243,0.002304222,0.004071636,0.4000002],"category_scores_gemma":[0.007448626,0.0004349781,0.0008801822,0.001673765,0.001663223,0.004399643,0.004768295,0.003464283,0.2692959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00520344,"about_ca_system_score_gemma":0.00630208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0145652,"about_ca_topic_score_gemma":0.01727203,"domain_scores_codex":[0.9974081,0.000340794,0.00015047,0.0006726387,0.001034102,0.0003939016],"domain_scores_gemma":[0.9975482,0.0002959346,0.00009196392,0.0002801243,0.001287824,0.0004959544],"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":[0.0001014089,0.0000436589,0.0008321695,0.0003114704,0.000008654671,0.0003175714,0.001156369,0.00009893983,0.0003208324,0.05390718,0.8173261,0.1255758],"study_design_scores_gemma":[0.000003231723,0.000008612794,0.0002385104,0.00009366425,0.00000154933,0.00008794018,0.0001935604,0.00001574957,0.00005705593,0.002029423,0.9972659,0.000004824115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002746259,0.007268789,0.005653981,0.02099911,0.0178749,0.0003373394,0.008925636,0.001466613,0.9347274],"genre_scores_gemma":[0.01533604,0.004280888,0.003321904,0.009837713,0.00208319,0.000228052,0.008266775,0.0007027901,0.9559427],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5999998,"threshold_uncertainty_score":0.855827,"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."}}