{"id":"W4407222883","doi":"10.3138/9781487559403","title":"Vitalizing Vocabulary","year":2024,"lang":"en","type":"book","venue":"University of Toronto Press eBooks","topic":"Historical Linguistics and Language Studies","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Linguistics; Computer science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005304706,0.0003822438,0.0002273586,0.001319526,0.00566661,0.00509208,0.0009013651,0.001122019,0.009176414],"category_scores_gemma":[0.001299673,0.0001981662,0.0002932462,0.001159871,0.008596869,0.004649888,0.002612633,0.00298545,0.001841599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01455132,"about_ca_system_score_gemma":0.03211269,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6041602,"about_ca_topic_score_gemma":0.7549376,"domain_scores_codex":[0.9993837,0.00006456074,0.00001289881,0.00006983904,0.0002534767,0.0002155163],"domain_scores_gemma":[0.9994848,0.00006477006,0.0000170766,0.00003842589,0.000248693,0.0001463121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001018966,0.000005577562,0.0006806279,0.0000386431,0.000001822802,0.0001247807,0.005930556,0.00010159,0.0002678421,0.8344659,0.09000873,0.06836385],"study_design_scores_gemma":[0.000003435372,0.00000694523,0.001056828,0.0001440284,0.000004392726,0.0001553914,0.002838258,0.0001108434,0.0003008987,0.08351842,0.9118497,0.00001080582],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006609569,0.01199223,0.003554544,0.01521941,0.0009537651,0.00003510309,0.0002142434,0.0001616489,0.9612595],"genre_scores_gemma":[0.2114607,0.01523404,0.005346083,0.004797895,0.0003222795,0.00005430084,0.0003421652,0.000172197,0.7622703],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6041602,"threshold_uncertainty_score":0.796342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405242936526564,"score_gpt":0.2005800492684728,"score_spread":0.1765276199032071,"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."}}