{"id":"W4400477999","doi":"10.1017/9781108983624.002","title":"Experimental and Variationist Research on Heritage Languages","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Linguistics; Heritage language; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004664631,0.0002837821,0.000291249,0.00108788,0.001305347,0.00175064,0.001166004,0.0007598447,0.009974234],"category_scores_gemma":[0.01063502,0.0002347957,0.0001854274,0.001532863,0.009336099,0.002678101,0.001888326,0.001586645,0.0006145715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458137,"about_ca_system_score_gemma":0.0007580294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001612165,"about_ca_topic_score_gemma":0.003357268,"domain_scores_codex":[0.9966817,0.002177589,0.0001101986,0.0003821391,0.0005449952,0.0001033602],"domain_scores_gemma":[0.9859497,0.01190972,0.0004027103,0.0013083,0.0002813507,0.0001481948],"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":[0.0003664722,0.001417307,0.005399277,0.001142312,0.0000719215,0.00033524,0.02853282,0.0005299072,0.01083198,0.7706595,0.009718167,0.1709951],"study_design_scores_gemma":[0.0002531187,0.001377712,0.05918856,0.001582985,0.0001230983,0.001650304,0.03020417,0.001189141,0.01746693,0.5048023,0.3820178,0.0001438242],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3514098,0.01868616,0.01642396,0.008574699,0.0005861495,0.0002048484,0.0004471788,0.00007213848,0.603595],"genre_scores_gemma":[0.9191158,0.01446802,0.01540117,0.003721316,0.0003898298,0.0009209309,0.0004886743,0.0001371321,0.04535708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009974234,"threshold_uncertainty_score":0.03336716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03692734001301878,"score_gpt":0.2937744914740275,"score_spread":0.2568471514610087,"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."}}